The 'Med AI' Capsule Podcast by Dr Avneesh Khare

In this episode of The Med AI Capsule, we look at how medicine is racing ahead and why explainable AI has become the central requirement for safe adoption. We unpack how tools like heat maps, SHAP scores, and rule extraction pull back the curtain on complex models and why these explanations are only clues about the model’s logic, not biological truth. The goal is simple: build systems clinicians can trust without surrendering judgment.We then move through the latest research and deployments. Speech-based models for early dementia show strong accuracy, but clinical readiness remains low because workflows are ignored. On the ground, startups like Vuha Med Data are scaling cervical cancer screening in low-resource environments, while AI tools are already improving safety, communication, and clinician wellbeing through infection prediction, patient-facing chat systems, and ambient AI scribes that cut burnout within weeks.We close with the policy and professional shifts that this rapid growth demands. New AMA requirements and India’s DPDP Act are reshaping training and data governance. And specialties like anesthesiology face an uncomfortable but necessary question: if machines handle the mechanics, how should clinicians redefine their role? The episode ends on the core challenge that will shape the decade ahead: using AI’s speed without losing the human connection that defines care.Note: This audio podcast is an extension of The Med AI Capsule newsletter by Dr Avneesh Khare. You can explore more at www.avneeshkhare.com.Disclaimer: This audio podcast was generated using Google NotebookLM and is based on content from the related newsletter issue. While all the information is curated from reliable sources, it is only intended for educational and informational purposes. AI LLMs can make mistakes. Please check all the important information. For any issues or inaccuracies, please reach out at [email protected]. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit avneeshkhare.substack.com

In this episode of The Med AI Capsule, we explore how AI is moving from pilot to practice—redefining diagnostics, clinical workflows, and critical care.We begin with OpenAI’s clinical copilot, which cut diagnostic errors in a study with Penda Health and showed real-world gains in patient safety and clinician trust. Next, we spotlight GE HealthCare’s dominance in FDA approvals and Mayo Clinic’s bold generative AI deployments powered by NVIDIA’s Blackwell infrastructure.We also take a closer look at Cloudphysician’s Smart-ICU model, where AI copilots and video analytics are transforming critical care in many Indian hospitals. On the research front, we cover a machine learning model that enables interpretable, personalized antibiotic therapy—offering a practical path to combat resistance.Plus, we discuss how digital patient systems powered by large language models are elevating medical training and whether ChatGPT can match emergency physicians in structured scenarios. Tune in to understand how precision, explainability, and real-world deployment are shaping the AI-powered future of medicine.Note: This audio podcast is an extension of The Med AI Capsule newsletter by Dr Avneesh Khare. You can explore more at www.medaicapsule.in.Disclaimer: This audio podcast was generated using Google NotebookLM and is based on content from the related newsletter issue. While all the information is curated from reliable sources, it is only intended for educational and informational purposes. AI LLMs can make mistakes. Please check all the important information. For any issues or inaccuracies, please reach out at [email protected]. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit avneeshkhare.substack.com

In this episode of The Med AI Capsule, we dive into how AI is transforming diagnosis, medical education, and specialist workflows. We look at Microsoft’s new MAI-DxO benchmark, designed to evaluate clinical reasoning under cost constraints—offering a fresh lens on diagnostic AI in high-stakes settings.We also cover Mayo Clinic’s StateViewer, an AI tool that classifies nine dementia types with a single scan, and explore how China’s Guangdong Medical University is pioneering AI medical education through immersive, large-model-powered platforms.Plus, we discuss new studies on interpretable AI for Crohn’s disease detection, and how extracurricular education can bridge the AI literacy gap for pre-med students. Tune in for insight into how diagnostic precision, educational reform, and transparent AI design are shaping tomorrow’s care.Note: This audio podcast is an extension of The Med AI Capsule newsletter by Dr Avneesh Khare. You can explore more at www.medaicapsule.in.Disclaimer: This audio podcast was generated using Google NotebookLM and is based on content from the related newsletter issue. While all the information is curated from reliable sources, it is only intended for educational and informational purposes. AI LLMs can make mistakes. Please check all the important information. For any issues or inaccuracies, please reach out at [email protected]. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit avneeshkhare.substack.com

In this episode of The Med AI Capsule, we explore the expanding role of AI in clinical realism, global strategy, and interprofessional education. We unpack OpenAI’s launch of HealthBench—an open-source benchmark built by physicians to assess how large language models perform in nuanced, decision-heavy clinical conversations.We also examine global initiatives reshaping healthcare infrastructure: from Oracle, Cleveland Clinic, and UAE’s G42 partnering to build a cross-continental AI platform to India’s IIT Delhi and AIIMS launching a Centre of Excellence for scalable AI health solutions.Plus, we discuss new research showing how GPT-4o can outperform human mentors in designing interprofessional clinical scenarios and review studies on AI’s impact on endoscopic cancer detection. Tune in to understand how physician-led frameworks, cross-sector partnerships, and iterative AI development are all converging to shape the next phase of clinical AI!Note: This audio podcast is an extension of The Med AI Capsule newsletter by Dr Avneesh Khare. You can explore more at www.medaicapsule.in.Disclaimer: This audio podcast was generated using Google NotebookLM and is based on content from the related newsletter issue. While all the information is curated from reliable sources, it is only intended for educational and informational purposes. AI LLMs can make mistakes. Please check all the important information. For any issues or inaccuracies, please reach out at [email protected]. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit avneeshkhare.substack.com

In this episode of The Med AI Capsule, we dive into the evolving landscape of AI in healthcare—where oversight, education, and innovation converge. From CHAI’s bold move to fill post-deployment monitoring gaps left by the FDA to datathons empowering medical students with real-world AI skills, we explore how governance and grassroots learning are shaping the future of medicine.We also spotlight emerging research on AI’s role in augmenting clinical decisions and the nuanced perceptions of mental health practitioners toward AI-enabled tools. With the launch of the Indian College of AI in Medicine (ICAIM), we highlight a new chapter in structured AI education for healthcare professionals in India and beyond.Join us as we examine how transparency, training, and collaboration can lead to safer, smarter, and more equitable healthcare systems. Share your thoughts using the hashtag #MedAIFuture, and be part of the conversation transforming healthcare as we know it!Note: This audio podcast is an extension of The Med AI Capsule newsletter by Dr Avneesh Khare. You can explore more at www.medaicapsule.in.Disclaimer: This audio podcast was generated using Google NotebookLM and is based on content from the related newsletter issue. While all the information is curated from reliable sources, it is only intended for educational and informational purposes. AI LLMs can make mistakes. Please check all the important information. For any issues or inaccuracies, please reach out at [email protected]. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit avneeshkhare.substack.com