Prostate cancer screening and diagnosis are changing fast. Dr. Geoffrey Sonn, Associate Professor of Urology and, by courtesy, of Radiology (Body MRI) at Stanford Medicine, joins Omar Khateeb to explore how AI and advanced imaging are reshaping how we detect, classify, and treat prostate cancer.From new biopsy techniques to AI-driven image interpretation, Dr. Sonn shares where the technology is today, what’s coming next, and how it could shift the balance between overdiagnosis and missed detection for millions of men worldwide.Episode Breakdown: 00:00 Welcome to State of MedTech with Dr. Geoffrey Sonn 00:45 How Stanford is redefining prostate-cancer imaging 02:14 Why early detection still fails too many men 04:01 The rise of AI-guided MRI-fusion biopsy 06:12 What surgeons actually see inside the scanner 08:04 From radiology to urology – bridging two worlds 09:58 How machine learning reads prostate tissue better than humans 12:06 Diagnosing without overtreating – the new balance in prostate care 14:10 How FDA clearance changed the pace of robotic diagnostics 16:02 Inside Stanford’s real-world AI validation studies 18:20 The problem with inconsistent imaging data 20:33 How startups can access anonymized clinical datasets 22:11 Why AI needs clinical context, not just clean data 24:00 The future of patient-specific risk prediction 26:02 MRI, ultrasound, and genomics – the convergence moment 27:51 What’s next for fusion-guided biopsy hardware 29:24 Reimbursement and adoption – the last big barrier 31:06 Training the next generation of AI-literate physicians 33:09 The role of public-private collaboration in MedTech innovation 35:10 How content and visibility accelerate research adoption 37:03 Dr. Sonn’s advice for MedTech founders entering imaging and AI 38:42 Closing thoughts – building trust in an algorithm-driven future 39:35 Outro – subscribe for more MedTech interviews

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