{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Deep View: Conversations","title":"#22: AI in Healthcare: Trust, Adoption & the \"Last Mile\" - Pelu Tran","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/3603671c\"></iframe>","width":"100%","height":180,"duration":3765,"description":"In this episode of The Deep View Conversations, we dive into the complex intersection of artificial intelligence and healthcare with Pelu Tran, co-founder and CEO of Ferrum Health. Pelu shares his deeply personal motivation behind founding Ferrum, why AI adoption in healthcare is slow, and how Ferrum aims to solve the “last mile” problem of bringing AI into clinical practice.\nWe explore everything from trust in algorithms, systemic challenges, and outdated infrastructure to the ethical implications of AI in medicine and the risk of over-efficiency. If you’re curious about the real-world application of AI in hospitals and how to bridge the gap between innovation and implementation, this is a must-listen.\nOutline: \n00:00 – Intro: AI and healthcare — promise vs. reality\n01:00 – Meet Pelu Tran, CEO of Ferrum Health\n03:10 – A personal tragedy leads to a mission: Ferrum’s origin\n07:00 – The real reason AI adoption is slow in hospitals\n10:00 – Infrastructure, security & why hospitals still use fax machines\n13:30 – What Ferrum Health actually does\n16:10 – Why FDA clearance isn’t enough for AI trust\n19:00 – Ferrum’s approach: Validating models with AI itself\n22:30 – AI performance drift & automated monitoring\n25:00 – Diagnostic tools, LLMs, and AI's current limitations\n28:40 – The illusion of language fluency and AI “hallucinations”\n31:00 – Burnout, administrative burden & where AI helps\n34:30 – Will AI speed things up or make hospitals worse?\n38:00 – Hospital incentives & risks of productivity pressure\n41:10 – AI replacing admin, not doctors (yet)\n44:10 – Communicating AI performance to clinicians\n47:30 – Measuring outcomes, not just accuracy\n50:00 – Trust, governance, and safe deployment\n53:15 – Why flexibility is key for AI in healthcare\n56:00 – The future: Safe disruption vs. blind disruption\n59:00 – Will AI replace doctors? Why not anytime soon\n1:01:00 – Final thoughts: AI’s promise and pitfalls \nGet The Deep View — your daily source for in-depth, fact-based...","thumbnail_url":"https://img.transistorcdn.com/ioaDRblhWlqekquI4zZDrpNROTZbPjUAT3imFBoFlRM/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wMjE1/NWJiMWI1ZTZiOTQx/NGVmZTA3NTcyOGQz/MDljNS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}