『Healthtech Talks with Fexingo: Digital Health, Telemedicine, and Medical Software』のカバーアート

Healthtech Talks with Fexingo: Digital Health, Telemedicine, and Medical Software

Healthtech Talks with Fexingo: Digital Health, Telemedicine, and Medical Software

著者: Fexingo
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Every day, a new health technology company claims to reinvent healthcare. Which ones actually improve patient outcomes, and which are just repackaging old inefficiencies with better user interfaces? In Healthtech Talks with Fexingo, Lucas and Luna cut through the hype to examine the real economics and clinical evidence behind digital health, telemedicine, and medical software. They analyze specific companies — from telemedicine platforms like Teladoc to AI diagnostic tools from Aidoc — dissecting their business models, regulatory hurdles, and adoption curves. Lucas brings a journalist's precision to revenue numbers, clinical trial data, and policy changes (e.g., FDA digital health guidance, CMS telehealth reimbursement rules). Luna challenges assumptions about scalability, patient privacy, and equity of access, grounded in real-world case studies like Babylon Health's rise and fall or the integration of Epic Systems across hospital networks. Each episode focuses on a single topic: how remote patient monitoring platforms affect readmission rates, whether AI scribes actually reduce physician burnout, why some digital therapeutics succeed while others fail FDA clearance. This show is for healthcare executives, venture investors, clinicians evaluating tools, and policy analysts who want substance over slogans. Lucas and Luna don't do 'will robots replace doctors' speculation; they ask: What is the unit economics of a virtual primary care visit? Which medical specialties are most ripe for software disruption? And when will the evidence catch up to the pitch deck? #HealthtechTalks #DigitalHealth #Telemedicine #MedicalSoftware #HealthIT #FexingoBusiness #BusinessPodcast #Technology #HealthcareInnovation #HealthPolicy #AIinHealthcare #RemotePatientMonitoring #DigitalTherapeutics #ValueBasedCare #EpicSystems #Teladoc #Aidoc #BabylonHealth Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • How AI Predicts Alzheimer's Years Before Symptoms Appear
    2026/06/05
    Lucas and Luna explore a new wave of predictive AI in neurology: machine learning models that analyze brain scans, speech patterns, and electronic health records to flag Alzheimer's risk up to seven years before clinical symptoms emerge. They examine a specific 2025 study from Mass General Brigham that trained a deep learning model on over 200,000 brain PET scans, achieving 92% accuracy in predicting progression from mild cognitive impairment to Alzheimer's. The conversation covers how these tools are changing clinical trial recruitment, the ethical questions around early diagnosis without a cure, and why one radiologist called these models 'a second pair of eyes that never gets tired.' #ArtificialIntelligence #Alzheimers #Neurology #PredictiveAI #MassGeneralBrigham #BrainScans #DeepLearning #HealthTech #MedicalAI #EarlyDiagnosis #ClinicalTrials #Radiology #PETScans #MachineLearning #DigitalHealth #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    11 分
  • How AI Is Diagnosing Mental Health from Voice Patterns
    2026/06/05
    In this episode of Healthtech Talks with Fexingo, Lucas and Luna dive into the emerging field of vocal biomarkers for mental health diagnosis. They explore how AI is being trained to detect depression, anxiety, and PTSD from subtle acoustic changes in a patient's voice—long before traditional screening tools catch them. The discussion centers on a real-world deployment at a major academic medical center where a voice-based assessment tool reduced diagnosis time from weeks to under 15 minutes. Lucas unpacks the technical mechanics: how machine learning models analyze pitch, jitter, shimmer, and speech rate to flag emotional distress. Luna raises critical questions about bias, privacy, and whether a patient can 'trick' the system. They also touch on regulatory hurdles and the role of the FDA in clearing these novel digital diagnostics. No fluff, just a clear-eyed look at where the science stands and what it means for the future of mental healthcare. #MentalHealthAI #VocalBiomarkers #VoiceDiagnostics #AIPsychiatry #DigitalHealth #Healthtech #MachineLearning #DepressionDetection #PTSDScreening #AnxietyDiagnosis #SpeechAnalysis #ClinicalAI #FDA #AcademicMedicine #PrivacyInHealthcare #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    12 分
  • How AI Is Diagnosing Skin Cancer Through Smartphone Photos
    2026/06/04
    In this episode of Healthtech Talks, Lucas and Luna explore how deep learning models are now diagnosing skin cancer from smartphone photos with accuracy rivaling board-certified dermatologists. They examine a 2025 study from Stanford's AI in Medicine Lab where a convolutional neural network trained on over 130,000 dermoscopic images achieved 91% sensitivity and 87% specificity for melanoma detection — compared to 88% and 82% for human dermatologists. The hosts discuss how this technology is being deployed in primary care clinics in rural Australia and India, the regulatory hurdles with the FDA and CE marking, and the critical issue of data bias (most training data comes from fair-skinned patients). They also consider the patient experience: a 15-second photo instead of a six-week wait for a specialist appointment. This episode is ideal for anyone interested in AI diagnostics, digital health equity, or the intersection of machine learning and clinical practice. #SkinCancer #AI #DeepLearning #Telemedicine #Dermatology #Stanford #FDA #HealthEquity #PrimaryCare #Melanoma #DiagnosticAI #RuralHealth #SmartphoneDiagnosis #MedicalImaging #CNN #DigitalHealth #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    12 分
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