Healthtech Talks with Fexingo: Digital Health, Telemedicine, and Medical Software
Healthtech Talks with Fexingo cuts through the hype surrounding digital health, telemedicine, and medical software. Hosts Lucas and Luna examine the real economics and clinical evidence behind health technology companies, from telemedicine platforms like Teladoc to AI diagnostic tools from Aidoc. They dissect business models, regulatory hurdles, and adoption curves while discussing FDA guidance, CMS telehealth reimbursement, and cases like Babylon Health and Epic Systems. Each episode focuses on a single topic, such as remote patient monitoring, AI scribes, or digital therapeutics.
Episodes
AI Is Decoding Doctor Handwriting
In this episode of Healthtech Talks, hosts Lucas and Luna explore how AI-powered handwriting recognition is finally making sense of physicians' notoriously illegible notes. They dive into a practical example: a mid-sized hospital system that rolled out an AI transcription tool for handwritten prescriptions and progress notes, cutting medication errors and saving nurses hours of deciphering time da
How AI Is Reshaping Medical Device Maintenance
In episode 163 of Healthtech Talks, Lucas and Luna explore a quietly critical corner of digital health: the AI-powered maintenance of medical devices. From MRI machines to infusion pumps, hospitals are turning to predictive algorithms that forecast equipment failures before they happen, reducing downtime and improving patient safety. Lucas breaks down how machine learning analyzes sensor data, usa
How AI Predicts Hospital Bed Demand Before Surges
Hospitals have long struggled with sudden bed shortages, leading to hallway patients, diverted ambulances, and crisis-level stress for staff. But a new wave of AI tools is changing that. In this episode, Lucas and Luna explore how predictive algorithms—trained on historical admissions, emergency department traffic, and even local weather—are helping hospitals forecast bed demand days in advance. T
How AI Is Reading Chest X-Rays for Silent Heart Disease
This episode of Healthtech Talks with Fexingo dives into a growing use of AI in radiology: detecting early signs of cardiovascular disease from routine chest X-rays. Lucas and Luna explore how algorithms are being trained to spot coronary artery calcification and other subtle indicators that human eyes might miss, potentially catching heart problems before symptoms appear. They discuss the technol
How AI Is Dosing Blood Thinners for Safer Surgery
In episode 160 of Healthtech Talks, Lucas and Luna explore how AI is personalizing blood thinner dosing ahead of surgery. They dig into the rise of direct oral anticoagulants, why standard dosing fails up to a third of patients, and how a model from the University of Michigan cut major bleeding events by 30 percent in a 2025 validation study. The episode traces how the tool works, from electronic
How AI Is Decoding Genetic Variants for Rare Diseases
In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is tackling one of medicine's hardest problems: diagnosing rare genetic diseases. With over 7,000 known rare conditions affecting roughly 300 million people worldwide, patients often wait years for a correct diagnosis. Lucas shares the story of a machine learning model from a major research hospital that analyz
How AI Is Personalizing Hospital Discharge Instructions
In this episode, Lucas and Luna explore how artificial intelligence is transforming the way hospitals create and deliver discharge instructions. They focus on a 2026 pilot at a large U.S. health system that used large language models to turn dense medical jargon into plain-language summaries tailored to each patient's literacy level and cognitive state. The conversation digs into the specific prob
How AI Is Predicting Patient No-Shows
In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is helping hospitals predict which patients are likely to miss their appointments—before they become costly no-shows. They dive into the real-world problem: missed appointments cost the U.S. healthcare system an estimated $150 billion a year, and traditional reminder calls only chip away at the issue. Lucas bre
How AI Is Predicting Hospital-Acquired Infections
Hospitals are fighting a silent enemy: infections patients pick up during their stay. We explore how AI is stepping in to predict these events before they happen, using electronic health records and real-time monitoring. We look at the case of a major health system that cut its catheter-associated urinary tract infection rate by 45 percent using an AI early-warning system. We also discuss the chal
How AI Is Helping Hospitals Predict Patient No-Shows
Missed appointments cost the US healthcare system an estimated $150 billion a year. In this episode of Healthtech Talks with Fexingo, Lucas and Luna explore how machine learning models are helping hospitals predict which patients are most likely to skip their visits—and what they're doing about it. They walk through one hospital system's pilot program that cut no-shows by 20 percent using a model
How AI Is Predicting Hospital Readmissions Before Discharge
Every year, hospitals face billions in penalties for patients who return within thirty days of discharge. In this episode, Lucas and Luna explore how machine learning models are changing that calculus. They break down the shift from simple risk scores to AI that analyzes a patient's entire electronic health record, including notes, labs, and vitals, to predict readmission risk with striking accura
How AI Is Mapping the Human Microbiome for Personalized Medicine
In this episode of Healthtech Talks, Lucas and Luna explore how AI is turning the human microbiome into a precise diagnostic tool. They look at the work of companies like uBiome (before its troubles) and the Thryve microbiome testing platform, and they explain how machine learning models are now predicting how individuals will respond to different diets, probiotics, and even cancer treatments base
How AI Is Keeping Confidence High in Surgical Robots
Surgical robots have been around for decades, but the AI layer is new. In this episode, Lucas and Luna explore how machine learning is making robotic surgery safer and more trustworthy — from real-time tissue tracking on the da Vinci system to the quiet work of predictive maintenance that keeps a robot from failing mid-procedure. They get specific about the numbers: how AI-powered vision systems a
How AI Is Making Hospital Discharge Summaries Safer
When a patient leaves the hospital, the discharge summary is the handoff that can make or break recovery. In this episode, Lucas and Luna unpack how AI is quietly transforming that final document — catching missing medications, flagging unclear follow-up instructions, and even predicting which patients are likely to bounce back within thirty days. They break down a real-world example from an acade
How AI Is Cutting Hospital Alarm False Alarms
In this special 150th episode of Healthtech Talks, Lucas and Luna shift focus from prediction to prevention: how artificial intelligence is filtering the relentless barrage of monitor alarms that desensitize clinicians and endanger patients. They explore the 'cry wolf' effect, where up to 90 percent of alarms are false, and how machine learning models now analyze waveform patterns to prioritize tr
How AI Is Predicting Hospital Bed Demand Before Surges
Hospitals have always struggled with bed shortages, but AI is changing the game. In this episode, Lucas and Luna explore how machine learning models are forecasting patient demand with remarkable accuracy. They dive into a real-world case where a large health system used AI to predict bed occupancy a week in advance, cutting wait times and improving patient flow. From the data sources—admissions,
How AI Is Decoding Sleep Data for Cardiologists
In this episode of Healthtech Talks, Lucas and Luna explore how AI is transforming sleep studies — moving diagnosis from overnight lab stays to wearable sensors and home monitoring. They focus on the case of a 52-year-old patient whose undiagnosed sleep apnea was flagged not by a traditional sleep lab, but by an Apple Watch alert during a routine night. The episode breaks down how machine learning
How AI Is Streamlining Organ Transplant Matching
In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is transforming organ transplant matching. They dive into the complexity of the current allocation system, the role of machine learning in predicting organ viability and recipient compatibility, and the ethical considerations of using AI in life-and-death decisions. With a focus on a recent pilot at a major tra
How AI Is Predicting Postpartum Depression Before Symptoms Start
In this episode of Healthtech Talks, Lucas and Luna explore how machine learning is spotting postpartum depression risk from electronic health records before symptoms appear. They dive into a 2025 study from Mass General Brigham that used data from over 100,000 births to flag risk months in advance, with an area under the curve of 0.82. They discuss the tricky balance between privacy and preventio
AI Is Automating Medical Coding Errors Out of Billing
In this episode of Healthtech Talks, Lucas and Luna explore how AI is quietly transforming medical billing by catching coding errors before claims are submitted. They focus on a 2026 pilot at a mid-sized hospital system where an AI-assisted coding tool reduced claim denials by 18 percent and saved roughly $2.3 million in the first quarter. The conversation digs into the mechanics: how the AI parse
How AI Is Decoding Physician Notes at the Point of Care
In this episode of Healthtech Talks, Lucas and Luna explore the quiet revolution happening inside the electronic health record: AI that reads unstructured physician notes and turns them into structured, coded data in real time. They examine the technology behind ambient clinical intelligence, the shift from scribes that listen to systems that understand, and the impact on diagnostic accuracy, bill
How AI Is Making Clinical Trial Recruitment Fairer and Faster
Clinical trials have a hidden bottleneck: finding the right patients. More than eighty percent of trials fail to hit their enrollment deadlines, and the patients who do get in are far from representative of the broader population. In this episode, Lucas and Luna look at how AI is quietly rewriting the recruitment playbook. They walk through a concrete example from a mid-sized oncology network wher
How AI Is Making Sense of Wearable Health Data
Lucas and Luna drill into a specific problem: your smartwatch says your resting heart rate is up, but what does that actually mean? With millions of people wearing devices that beam out continuous health signals, AI is stepping in to translate raw sensor data into something clinicians can act on — without drowning them in alerts. The episode centers on a 2025 Stanford study where an AI model ident
How AI Therapy Chatbots Are Expanding Mental Health Access
Lucas and Luna explore the rise of AI-powered mental health chatbots, focusing on a 2025 study where users of an AI therapy bot reported a 35% drop in depression symptoms over eight weeks. They break down how these bots use cognitive behavioral therapy techniques, natural language processing, and safety protocols to triage users in crisis. The conversation covers real-world adoption by employers,
How AI Is Cutting Medical Billing Denial Rates
Medical billing is a $40 billion administrative headache for US hospitals, with an average of 1 in 4 claims denied on first submission. But AI is changing that. In this episode, Lucas and Luna explore how Northwell Health partnered with an AI startup to slash denial rates from 18% to 4% in just six months — saving $12 million annually. They break down the machine learning models that parse payer-s
How AI Is Reducing ICU Alarm Fatigue
Every ICU patient triggers up to 190 alarms per day, and up to 90% are false or clinically irrelevant. This episode explores how machine learning algorithms are filtering out non-actionable alerts, allowing nurses to focus on true emergencies. We break down the specific technologies used by hospitals like Johns Hopkins — combining patient vital signs, electronic health record data, and trend analy
How AI Is Cutting Prior Authorization Wait Times From Days to Minutes
Prior authorization has long been one of healthcare's most frustrating administrative bottlenecks, forcing doctors to wait days or weeks for insurance approval on treatments. In this episode, Lucas and Luna explore how a large Midwestern health system deployed an AI-powered natural language processing system that slashed average prior auth decision times from 3.2 days to just 14 minutes. They disc
How AI Scribes Are Cutting Physician Documentation Time by 75 Percent
Physicians spend nearly two hours on paperwork for every hour with patients. In episode 137 of Healthtech Talks, Lucas and Luna explore how AI-powered ambient scribes are slashing clinical documentation time. They examine the rollout at the University of Kansas Health System, where 400 doctors saw note-writing drop from 12 minutes to 3 minutes per patient. The conversation covers how the technolog
How AI Is Predicting Cardiac Arrest Hours Before It Happens
In this episode of Healthtech Talks with Fexingo, Lucas and Luna dive into a Florida hospital's deployment of an AI system that predicts cardiac arrest on general medical-surgical units. Within six months, unplanned cardiac arrests dropped by 28 percent. They explore how the dynamic risk score outperforms traditional early warning scores, the design that minimizes alert fatigue, and the real impac
How AI Is Detecting Diabetic Retinopathy From Retinal Scans
Diabetic retinopathy is the leading cause of blindness among working-age adults, yet many cases go undetected until vision loss begins. In this episode, Lucas and Luna explore how artificial intelligence is changing that by analyzing retinal scans with accuracy rivaling top ophthalmologists. They spotlight IDx-DR, the first FDA-authorized autonomous AI system for diabetic retinopathy screening, wh
How AI Is Catching Hidden Atrial Fibrillation From a Simple ECG
Every year, millions of ECGs are recorded, yet atrial fibrillation—the most common serious heart arrhythmia—remains underdiagnosed because its episodes are often brief or silent. In this episode, we look at a deep learning model developed at the Mayo Clinic and validated in a 2025 trial of over 10,000 patients. The algorithm detected Afib in 1 in 5 patients whom cardiologists had cleared as normal
How AI Is Accelerating Drug Discovery
In 2025, an AI model screened 12,000 compounds in just 48 hours and identified a potent new antibiotic against MRSA, a drug-resistant superbug that kills tens of thousands each year. This isn't science fiction — it's the new frontier of pharmaceutical development. In this episode, Lucas and Luna explore how artificial intelligence is compressing the decade-long drug discovery timeline into months.
How AI Personalizes Depression Treatment Plans
Millions of patients endure months of trial-and-error to find an antidepressant that works. In this episode, Lucas and Luna explore how a machine learning model at a major academic medical center uses EEG data and clinical history to predict individual SSRI response with over 70% accuracy — nearly doubling the success rate of standard prescribing. They walk through the study design, the surprising
How AI Predicts Adverse Drug Reactions Before Prescription
In this episode of Healthtech Talks, Lucas and Luna explore how machine learning models are being used to predict adverse drug reactions before a prescription is written. They focus on a specific case: MedSafety AI, a platform developed by startup RxGuardian, which analyzes a patient's genetic markers, current medications, and lab results to flag potential dangerous interactions and side effects.
How AI Is Predicting Hospital Readmissions Before Discharge
Episode 130 of Healthtech Talks with Fexingo dives into AI-driven readmission prediction — a tool that identifies which patients are likely to bounce back within 30 days, often before they even leave the hospital. Lucas and Luna examine a real-world implementation at a 400-bed community hospital in Ohio that cut readmissions by 22 percent using a machine learning model trained on electronic health
How AI Is Matching Patients to the Right Specialist
Episode 129 of Healthtech Talks with Fexingo explores how artificial intelligence is solving a frustrating healthcare problem: getting patients to the right specialist the first time. Lucas and Luna dig into a real-world deployment at a large academic medical center where an AI triage system reduced specialist mismatch by 32 percent in its first six months. They discuss how natural language proces
How AI Is Reducing Unnecessary ER Visits
In this episode, Lucas and Luna explore how artificial intelligence is being used to triage patients before they even step into the emergency room. They focus on a specific case: a pilot program at a large urban hospital system that uses machine learning to analyze symptoms, vitals, and historical data from a patient's health record to predict whether an ER visit is truly necessary. The system rec
How AI Is Detecting Early-Stage Alzheimer's Through Speech Patterns
In this episode of Healthtech Talks, Lucas and Luna explore how researchers are training AI models to detect early-stage Alzheimer's disease by analyzing subtle changes in speech patterns — years before traditional symptoms appear. They break down a 2025 study from Boston University showing that a vocal-analysis model achieved 88 percent accuracy in identifying mild cognitive impairment from a 30-
How AI Is Diagnosing Skin Cancer Through Smartphone Photos
Artificial intelligence is turning the smartphone into a dermatology tool. Lucas and Luna examine how a deep learning model trained on over 100,000 dermoscopic images is detecting melanoma and basal cell carcinoma with accuracy matching board-certified dermatologists. They walk through a real-world deployment at a California clinic where the tool cut referral wait times from two weeks to under two
How AI Is Predicting Alzheimer's Years Before Symptoms
In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is being trained to detect early biomarkers of Alzheimer's disease — years before clinical symptoms appear. They focus on a landmark 2024 study from the University of California San Francisco, where an AI model analyzed routine brain MRI scans and electronic health records to predict Alzheimer's onset with 92 p
How AI Is Tuning Cochlear Implants for Better Hearing
In this episode of Healthtech Talks, Lucas and Luna dive into a surprising use of artificial intelligence: optimizing cochlear implant programming. Cochlear implants have transformed hearing for hundreds of thousands of people worldwide, but fitting them traditionally requires multiple painful visits to an audiologist—and outcomes vary widely. Now, a team at the University of Texas at Dallas has d
How AI Is Matching Patients to the Right Hospital Bed
In this episode of Healthtech Talks, Lucas and Luna explore how AI-powered bed management is transforming hospital operations. They focus on a specific case: how Johns Hopkins Hospital used machine learning to predict bed demand and reduce emergency department boarding times by 37 percent. The hosts break down the algorithm's inputs, the cultural resistance from nursing staff, and the unexpected o
How AI Is Uncovering Hidden Patterns in Electronic Health Records
In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is being used to find patterns in electronic health records that humans routinely miss. They focus on a specific case from Boston Children's Hospital, where an AI model analyzing 1.5 million patient records identified a previously unknown link between postpartum depression and a specific vitamin D deficiency ma
How AI Is Preventing Medication Errors in Hospitals
Lucas and Luna explore how artificial intelligence is being deployed to catch dangerous medication errors before they reach patients. They examine a 2025 study from Johns Hopkins showing that AI-powered clinical decision support systems can intercept 84% of potentially harmful drug-drug interactions and dosage miscalculations. The episode drills into a specific case: how Vanderbilt University Medi
How AI Is Matching Clinical Trials to Patients in Minutes
Every year, thousands of cancer patients never learn about clinical trials that could save their lives. In this episode of Healthtech Talks, Lucas and Luna dive into the quiet revolution of AI-powered clinical trial matching. They focus on a specific case: how Tempus, a Chicago-based healthtech company, built an algorithm that scans electronic health records against trial eligibility criteria in u
How AI Is Predicting Post-Surgery Infections With Wearables
Lucas and Luna explore how AI-powered wearable sensors are being used to predict surgical site infections days before visible symptoms appear. They focus on a real-world deployment at a major US hospital system where patients wear a small adhesive patch post-surgery that tracks heart rate, respiration, skin temperature, and gait. The algorithm, trained on thousands of recovery trajectories, issues
How AI Is Predicting Sepsis Hours Before Blood Cultures Turn Positive
Sepsis is the silent killer that accounts for one in five deaths worldwide. By the time blood cultures come back positive, the patient is often already in crisis. But a new wave of AI-driven early warning systems is changing the timeline. In this episode of Healthtech Talks, Lucas and Luna explore how machine learning models trained on real-time vitals, lab results, and nursing notes can predict s
How AI Is Predicting Kidney Injury Before Dialysis
In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is predicting acute kidney injury (AKI) up to 48 hours before it becomes critical. They focus on a specific deployment at a large academic medical center where an AI model reduced dialysis starts by 25% and cut ICU length of stay. The hosts break down how the model works—using lab trends, vital signs, and medic
How AI Is Streamlining Hospital Prior Authorization
Lucas and Luna dive into how artificial intelligence is transforming prior authorization in healthcare—a bureaucratic process that costs hospitals billions annually and delays patient care. They examine a real-world case: a mid-sized hospital system in Ohio that deployed an AI platform from a startup called Cohere Health, reducing authorization turnaround time from 11 days to under 48 hours. The h
How AI Is Personalizing Cancer Treatment Plans
In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is personalizing cancer treatment plans at scale. They focus on a specific case: Memorial Sloan Kettering's collaboration with IBM Watson Health (now part of Merative) and how the platform analyzes thousands of medical papers, clinical trials, and patient records in minutes to suggest tailored therapies. The ho
How AI Is Detecting Early-Stage Pancreatic Cancer
Pancreatic cancer is notoriously hard to detect early, but AI is changing that. In this episode, Lucas and Luna explore how machine learning models are analyzing CT scans, electronic health records, and even routine blood tests to flag patients at high risk before symptoms appear. They discuss a recent study from MIT and Harvard that used an AI model trained on millions of patient records to predi
How AI Is Reducing Diagnostic Errors in Radiology
A deep dive into how artificial intelligence is being deployed to cut diagnostic errors in radiology. We examine a landmark 2025 study from the University of Pittsburgh Medical Center showing a 23% reduction in missed findings when AI acts as a second reader on chest X-rays. Lucas and Luna discuss why radiologists are embracing AI as a partner, not fearing replacement, and how the technology is be
How AI Is Monitoring Patient Falls Before They Happen
Every year in the US, between 700,000 and 1 million hospitalized patients fall. Many result in broken hips, head injuries, and longer stays. Traditional fall-risk assessments rely on nurses manually scoring patients—subjective, inconsistent, and slow. Now, a wave of AI-powered camera systems is changing that. Lucas and Luna explore how companies like CareAI and Walabot are using computer vision an
How AI Is Predicting Patient Deterioration in Real Time
Lucas and Luna dive into how hospitals are using AI to predict patient deterioration in real time, before a code blue is called. They examine a specific deployment at a major academic medical center that reduced escalations by 25 percent by analyzing vital signs, lab results, and nurse charting every five minutes. The episode walks through how the model works, the operational challenges of getting
How AI Is Predicting Heart Failure Before Symptoms Start
Hospitals miss about 20% of heart failure cases until the patient is already in crisis. This episode dives into how machine learning models—trained on electronic health records, lab trends, and subtle vital sign shifts—can flag heart failure risk weeks before symptoms appear. Lucas and Luna examine a specific algorithm deployed at the Mayo Clinic that reduced missed diagnoses by 38% in a 2025 stud
How AI Is Training Surgeons With Virtual Reality
In this episode of Healthtech Talks, Lucas and Luna explore how AI-powered virtual reality is transforming surgical training. They focus on the specific case of Osso VR, a startup that has trained over 15,000 surgeons worldwide using immersive simulations. The hosts discuss how the platform uses AI to provide real-time feedback on technique, track performance metrics, and reduce the learning curve
How AI Is Optimizing Hospital Bed Management
Hospitals lose millions of dollars and countless patient hours to inefficient bed allocation. In this episode, Lucas and Luna explore how AI-driven bed management systems are predicting discharge times, reducing wait times in emergency departments, and freeing up capacity without building new wings. They discuss a specific case: how a 400-bed academic medical center in Ohio used machine learning t
How AI Is Automating Medical Coding and Billing
Episode 107 of Healthtech Talks with Fexingo dives into the unsung hero of hospital finance: medical coding. Lucas and Luna explore how AI is automating the complex process of translating doctor notes into billing codes, a task that costs the US healthcare system over $200 billion annually in administrative waste. They spotlight a real-world case: a mid-sized hospital chain that deployed a large l
How AI Is Triaging Radiology Worklists to Speed Diagnosis
In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is being used to triage radiology worklists — prioritizing critical cases like strokes and hemorrhages so radiologists see them first. They discuss a real-world deployment at a major hospital system where AI cut median report turnaround time for critical findings from 30 minutes to under 5. The conversation cov
How AI Is Predicting Hospital No-Shows to Save Millions
Every year, U.S. hospitals lose an estimated $150 billion to missed appointments. In this episode, Lucas and Luna explore how one health system—Cleveland Clinic—used machine learning to predict which patients are most likely to skip their visits. They walk through the model's features: appointment history, travel distance, weather data, and even local traffic patterns. The result? A 20 percent red
How AI Is Predicting Hospital Readmissions Before Discharge
In this episode of Healthtech Talks with Fexingo, hosts Lucas and Luna dive into how machine learning models are now predicting 30-day hospital readmissions with over 80% accuracy — before the patient even walks out the door. They focus on Mount Sinai's SPOT Readmission Prediction Tool, which analyzes over 200 variables from electronic health records, social determinants, and real-time vitals to f
How AI Is Detecting Lung Cancer From a Single CT Scan
In this episode of Healthtech Talks with Fexingo, Lucas and Luna explore how artificial intelligence is transforming lung cancer detection. They focus on a breakthrough AI system developed at the University of Cambridge that can identify malignant lung nodules from a single CT scan with greater accuracy than human radiologists alone. The conversation covers the training dataset of 10,000 scans, th
How Generative AI Is Writing Doctor Visit Summaries
Lucas and Luna explore how generative AI is automating the clinical note, one of the most hated tasks in medicine. They focus on the specific case of NYU Langone Health, which piloted an ambient AI scribe from Nuance's Dragon Ambient eXperience (DAX) in 2024. By mid-2026, over 200 physicians are using it, saving an average of 7 minutes per visit. Lucas breaks down the workflow: a microphone captur
How AI Is Detecting Sepsis in Premature Infants
In this episode, Lucas and Luna explore a cutting-edge application of artificial intelligence in neonatology: predicting sepsis in premature babies hours before clinical signs appear. They dive into a 2025 study from three US children's hospitals that used a machine learning model trained on continuous vital-sign data from over 4,000 infants in the NICU. The model, developed by researchers at Chil
How AI Is Diagnosing Alzheimer's Years Before Symptoms
For episode 100 of Healthtech Talks, Lucas and Luna explore how machine learning models are detecting early biomarkers of Alzheimer's disease from routine eye scans and speech patterns — years before cognitive symptoms appear. They dive into a 2025 study from the University of Edinburgh that used retinal imaging to predict disease onset with 85 percent accuracy, and discuss how the technology coul
How AI Predicts Surgical Site Infections Before Incisions
In this episode, Lucas and Luna explore how machine learning models are predicting surgical site infections before the patient even leaves the operating room. They dive into a specific model developed by a team at the University of Michigan Health System, which analyzes pre-op labs, patient history, and intra-operative data to assign a real-time infection risk score. The hosts discuss the 2024 stu
How AI Is Diagnosing Skin Cancer From a Selfie
In this episode of Healthtech Talks, Lucas and Luna explore how AI is turning smartphone photos into skin cancer screening tools. They focus on a specific 2025 study from Stanford where a deep learning model matched dermatologists' accuracy in detecting melanoma from patient-taken selfies. The discussion covers the model's 96% sensitivity rate, the challenge of differentiating benign moles from ma
How AI Is Predicting Sepsis Hours Before It Strikes
Sepsis kills roughly 350,000 adults in US hospitals each year — often because clinicians catch it too late. In this episode, Lucas and Luna drill into a single case: how the University of Florida Health system deployed a real-time AI sepsis alert that flags patients 4 to 6 hours before they meet standard diagnostic criteria. They discuss the model's design — it analyzes 35 vitals and lab values ev
How AI Predicts Post-Surgery Complications Before Symptoms Appear
Episode 96 of Healthtech Talks dives into the fast-emerging field of AI-driven post-surgical monitoring. Lucas and Luna examine how hospitals are deploying machine learning models that analyze continuous vital-sign streams—heart rate, respiratory rate, oxygen saturation—from bedside monitors to detect complications like sepsis, internal bleeding, and anastomotic leaks hours before a patient feels
How AI Is Predicting Patient Wait Times in Emergency Rooms
Emergency rooms are chaotic by design, but AI is starting to bring order. In this episode, Lucas and Luna explore how hospitals are using machine learning to predict how long you'll wait before seeing a doctor — and why that matters for both patient satisfaction and clinical outcomes. They break down a real deployment at a major health system: how the model ingests real-time data from triage notes
How AI is Designing Personalized Treatment Plans for Cancer Patients
Episode 94 of Healthtech Talks with Fexingo explores how artificial intelligence is moving beyond diagnosis to actually design personalized cancer treatment plans. Lucas and Luna examine a real-world case at Memorial Sloan Kettering, where an AI system called CURATE.AI helped a patient with advanced prostate cancer find the optimal drug combination after standard therapies failed. The algorithm an
How AI Is Personalizing Patient Education at Discharge
Episode 93 of Healthtech Talks explores how hospitals are using generative AI to create personalized, plain-language discharge instructions for patients. Lucas and Luna examine a pilot at Johns Hopkins where an AI model tailors aftercare summaries to a patient's reading level, language, and condition. The system reduced 30-day readmissions by 18% in a six-month trial. They discuss the challenges o
How AI Is Personalizing Mental Health Therapy at Scale
In this episode, Lucas and Luna explore how artificial intelligence is being used to personalize mental health therapy for millions. They focus on the case of Woebot, a chatbot therapist that uses cognitive behavioral therapy techniques and natural language processing to adapt to each user's emotional state in real time. The hosts discuss how Woebot's algorithms analyze user responses to tailor ex
How AI Is Predicting Anxiety and Depression from Your Voice
Lucas and Luna explore how artificial intelligence is being used to detect signs of anxiety and depression from voice patterns alone. They dive into a specific study from the University of Maryland where an AI model achieved 85% accuracy in identifying depression from just 30 seconds of speech. The episode covers the underlying technology—acoustic features like pitch, rhythm, and energy—as well as
How AI Is Helping Nurses Predict Deterioration
In this episode of Healthtech Talks with Fexingo, Lucas and Luna explore how artificial intelligence is transforming nursing by predicting patient deterioration hours before it becomes critical. They dive into a specific case: the AI-powered early warning system deployed at Johns Hopkins Hospital, which reduced cardiac arrests by 30% on pilot units. Lucas breaks down how the model uses vitals, lab
How AI Is Predicting Mental Health Crises Before They Happen
Lucas and Luna explore how machine learning models are being trained on passive smartphone data — typing speed, sleep patterns, social media activity — to predict mental health crises days in advance. They walk through a specific study from Cambridge Health Alliance that achieved 72-hour warning accuracy of 87 percent, and discuss the ethical tightrope between intervention and surveillance. The ep
How AI Predicts Brain Aneurysms Before They Rupture
In this episode of Healthtech Talks, Lucas and Luna explore how artificial intelligence is being used to detect brain aneurysms from routine CT scans before they rupture. They focus on a deep-learning algorithm developed at the University of Zurich, which was trained on over 1,500 angiograms and flagged suspicious vessels with 95 percent sensitivity in a recent study. The conversation covers how t
How AI Is Predicting Heart Attacks Weeks in Advance
Lucas and Luna explore how machine learning models are moving beyond traditional risk factors to predict heart attacks days or even weeks before they happen. They focus on a specific algorithm developed by a team at the University of Texas that analyzes wearable ECG data combined with electronic health records. The episode breaks down how the model identifies subtle electrical changes in the heart
How AI Is Predicting Hospital Supply Chain Disruptions
Episode 86 of Healthtech Talks explores how AI is helping hospitals predict supply chain disruptions before they happen. Lucas and Luna dive into the case of Intermountain Health, which uses machine learning to forecast shortages of IV fluids, surgical gloves, and other critical supplies. They discuss how the system analyzes historical usage data, supplier performance, and external signals like we
How AI Is Predicting Hospital Equipment Failures Before They Happen
Lucas and Luna explore how a growing number of hospitals are using AI to predict equipment failures before they disrupt patient care. They focus on the case of Baptist Health in Florida, which deployed a predictive maintenance platform on 4,500 infusion pumps and reduced unplanned downtime by 38 percent. The conversation covers how vibration sensors, temperature logs, and utilisation data feed mac
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