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Hosted by Unknown Host · EN · 18 episodes
Established thought leaders with verified media credentials.
Your daily dose of clinical AI research. Each episode breaks down the latest peer-reviewed research at the intersection of artificial intelligence and healthcare — from large language models in clinical decision support to computer vision in pathology, from federated learning for patient privacy to AI-powered diagnostics. Hosted by Raphael T. Malikian, MBBS, BSc (Hons), Healthcare AI Daily bridges the gap between cutting-edge AI research and real-world clinical impact. Whether you're a clinician, researcher, technologist, or simply curious about how AI is transforming medicine, each episode delivers clear, evidence-based insights in under 3 minutes. 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 New episodes every day. Subscribe wherever you listen to podcasts.
Unknown Host hosts Healthcare AI Daily, a general show with 18 episodes published.
Raphael T. Malikian, MBBS, BSc (Hons) translates healthcare AI research into practical, clinically grounded questions for builders, clinicians, researchers, and governance teams. GitHub: https://github.com/rtmalikian Lin
Right now, doctors wait one to three days to learn which antibiotics will work for a serious infection. A new deep learning system called ANTIBIOTIC reads mass spectrometry data hospitals already collect and predicts res
What happens when healthcare AI hallucinates? A new systematic review of 44 studies identifies 7 strategies that actually reduce AI errors in medicine. Sanjay Basu and Benjamin Huynh from UC San Francisco and Johns Hopki
Can contactless sensors in your home detect cerebrovascular disease before a stroke happens? A new study from South Korea placed IoT sensors in the homes of 1,224 older adults and trained an AI to watch for subtle change
Raphael T. Malikian, MBBS, BSc (Hons) translates healthcare AI research into practical, clinically grounded questions for builders, clinicians, researchers, and governance teams. GitHub: https://github.com/rtmalikian Lin
In rural Brazil, there’s one dermatologist for every 17,000 people. A new AI app that works completely offline just helped health workers catch skin cancers far more accurately. Published in npj Digital Medicine (Nature)
Can ChatGPT, Gemini, or Claude actually read an electrocardiogram? A new peer-reviewed study tested six major vision-language models on 70 real clinical ECG images. The results are a wake-up call for anyone assuming AI c
Raphael T. Malikian, MBBS, BSc (Hons) translates healthcare AI research into practical, clinically grounded questions for builders, clinicians, researchers, and governance teams. GitHub: https://github.com/rtmalikian Lin
Raphael T. Malikian, MBBS, BSc (Hons) translates healthcare AI research into practical, clinically grounded questions for builders, clinicians, researchers, and governance teams. GitHub: https://github.com/rtmalikian Lin
Raphael T. Malikian, MBBS, BSc (Hons) translates healthcare AI research into practical, clinically grounded questions for builders, clinicians, researchers, and governance teams. GitHub: https://github.com/rtmalikian Lin
Raphael T. Malikian, MBBS, BSc (Hons) translates healthcare AI research into practical, clinically grounded questions for builders, clinicians, researchers, and governance teams. GitHub: https://github.com/rtmalikian Lin
Most healthcare AI is trained on urban hospital data. High-altitude populations with unique health needs are invisible to these systems. Shi P et al. - npj Digital Medicine (2026) DOI: 10.1038/s41746-026-02701-7 This pap
Clinical notes contain the richest patient information in any hospital - but it sits in free text that no algorithm can read at scale. Zou Y et al. - npj Precision Oncology (2026) DOI: 10.1038/s41698-026-01521-y A privac
Most clinical AI models fail in deployment. Not because the algorithms are wrong, but because clinicians were never asked how they should work. Feng J et al. - npj Digital Medicine (2026) DOI: 10.1038/s41746-026-02838-5
Mental-R1: Can we teach AI to reason like a clinician for mental health assessment? Researchers at Oxford developed CRPO (Cognitive Relative Policy Optimization), a reinforcement learning framework that aligns LLM reason
New AI approaches to HER2 scoring in breast cancer pathology slides, improving consistency and speed of this critical biomarker assessment. Watch this episode on YouTube: https://youtu.be/ydhDqkzKOgY YouTube Channel: htt
Examining how well LLMs calibrate their confidence when interpreting ultrasound images, and what this means for clinical decision support systems. Watch this episode on YouTube: https://youtu.be/NuRwJ8dPiJ4 YouTube Chann
Exploring how LLMs are being used in professional development across healthcare, with implications for training, continuing education, and clinical competency assessment. Watch this episode on YouTube: https://youtu.be/Q
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Healthcare AI Daily is hosted by Unknown Host. The show is categorised under General and has published 18 episodes.
Healthcare AI Daily has published 18 episodes.
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