Healthcare AI Weekly cover art

Healthcare AI Weekly

Healthcare AI Weekly

Written by: Raphael T. Malikian
Listen for free

Deep dives into the most important healthcare AI research of the week. Each episode features in-depth analysis of two newly published peer-reviewed papers — one high-impact study and one overlooked gem — at the frontier of clinical artificial intelligence. Hosted by Raphael T. Malikian, MBBS, BSc (Hons), Healthcare AI Weekly goes beyond headlines to examine methodology, clinical implications, limitations, and what these findings mean for patients, providers, and the future of medicine. Watch every episode on YouTube: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian (rtmalikian@gmail.com). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research. All research content is based on peer-reviewed publications. For comments, questions, or concerns, email: rtmalikian@gmail.com Published weekly. Subscribe wherever you listen to podcasts.© 2026 Raphael T. Malikian Science
Episodes
  • Healthcare AI Weekly: Skin Cancer AI + Colonoscopy Deskilling | Healthcare AI Weekly

    Healthcare AI Weekly: Skin Cancer AI + Colonoscopy Deskilling | Healthcare AI Weekly
    Jun 11 2026
    Healthcare AI Weekly - your bridge between clinical medicine and AI research. This week we examine two critical healthcare AI papers: Paper 1 - AI-powered skin cancer detection in clinical settings Paper 2 - The deskilling effect: how AI assistance in colonoscopy may reduce physician competency over time One paper shows AI outperforming clinicians in detection. The other raises an uncomfortable question: what happens to human skill when we rely on AI too much? MEDICAL DISCLAIMER: This podcast is for educational and informational purposes only. It is not intended to diagnose, treat, cure, or prevent any medical condition. Nothing discussed in this episode constitutes medical advice. If you have a medical concern or health problem, you must seek attention from a licensed medical professional immediately. Created by Raphael T. Malikian (rtmalikian@gmail.com). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research. #HealthcareAI #ClinicalAI #MedicalAI #AIinMedicine #DigitalHealth #MachineLearning #HealthTech #AIResearch #ClinicalDecisionSupport #HealthcareInnovation Watch this episode on YouTube: https://youtu.be/kauhiLUZJrA YouTube Channel: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian (rtmalikian@gmail.com). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research.
    Show More Show Less
    7 mins
  • Healthcare AI Weekly: Blood Test for Kidney Cancer + AI Detects Delirium | Healthcare AI Weekly

    Healthcare AI Weekly: Blood Test for Kidney Cancer + AI Detects Delirium | Healthcare AI Weekly
    Jun 4 2026
    Healthcare AI Weekly - your bridge between clinical medicine and AI research. This week we cover two papers on AI detecting what current methods miss: Paper 1 - RCAID: Renal Cell Carcinoma AI Detector Huang C, Wang G, Yuan Y, et al. European Urology (2026) A plasma metabolomic model using 7 blood metabolites detected kidney cancer with AUROCs of 0.91-0.99 across 6 validation cohorts. Paper 2 - Video-based Detection of Delirium in Hospitalized Adults Mendu M, Tesh RA, Pellerin K, et al. PLOS Digital Health (2026) A video-based AI system using deep learning pose estimation detected delirium with AUC 0.79. MEDICAL DISCLAIMER: This podcast is for educational and informational purposes only. It is not intended to diagnose, treat, cure, or prevent any medical condition. Nothing discussed in this episode constitutes medical advice. If you have a medical concern or health problem, you must seek attention from a licensed medical professional immediately. Created by Raphael T. Malikian (rtmalikian@gmail.com). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research. #HealthcareAI #ClinicalAI #MedicalAI #AIinMedicine #DigitalHealth #MachineLearning #HealthTech #AIResearch #ClinicalDecisionSupport #HealthcareInnovation Watch this episode on YouTube: https://youtu.be/E9EPRWN89LM YouTube Channel: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian (rtmalikian@gmail.com). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research.
    Show More Show Less
    14 mins
  • Healthcare AI Weekly: AI Triage Meets Governance | Healthcare AI Weekly

    Healthcare AI Weekly: AI Triage Meets Governance | Healthcare AI Weekly
    Jun 13 2026
    I’m Raphael Malikian, a healthcare AI builder with 20+ years of domain experience, from family medicine practice to bootstrapping a direct primary care startup. This channel documents my healthcare-AI pivot: building in public, sharing insights on clinical workflows, digital health, LLM evaluation, automation, research ops, and turning real projects into a practical portfolio. Every week I release Healthcare AI Weekly which is a journal club discussing an important peer-reviewed healthcare AI article, and one you might have missed. Do you have a healthcare problem that you help with solving? Reach out. My email is rtmalikian@gmail.com Links Github github.com/rtmalikian LinkedIn linkedin.com/in/raphael-t-malikian-mbbs-bsc-hons-71075436a --- This week in Healthcare AI Weekly: a source-grounded look at two new peer-reviewed healthcare AI papers. 1) Bavali-Gazik et al. — Developing and validating an AI-based electronic triage model for cardiac-suspected ED patients. PMID: 42182049; PMCID: PMC13195029. 2) Hiratsuka et al. — AI/ML in Alaska Native healthcare systems: symposium perspectives. PMID: 42176020; PMCID: PMC13202658. Comment question: which layer matters most for healthcare AI right now — model performance, workflow fit, or governance? Synthetic voice disclosure: narration uses edge-tts en-US-AndrewNeural synthetic voice for review production. Watch this episode on YouTube: https://youtu.be/gQbft5MLFTA YouTube Channel: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian (rtmalikian@gmail.com). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research.
    Show More Show Less
    4 mins
adbl_web_anon_alc_button_suppression_t1
No reviews yet