In this episode of the Eye on AI Podcast, Craig Smith sits down with Steve Brown, founder of CureWise, to explore how agentic AI is reshaping healthcare from the patient's perspective.

Steve shares the deeply personal story behind CureWise, born out of his own experience with a rare cancer diagnosis that was repeatedly missed by traditional medical pathways. The conversation dives into why modern healthcare struggles with complex, edge-case conditions, how fragmented medical data and time-constrained systems fail patients, and where AI can meaningfully help without replacing clinicians.

The discussion goes deep into multi-agent AI systems, reliability through consensus, large context windows, and how AI can surface better questions rather than premature answers. Steve explains why patient education is the real unlock for better outcomes, how precision medicine depends on individualized data and genetics, and why empowering patients leads to stronger collaboration with doctors.

This episode offers a grounded, practical look at AI's role in healthcare, not as a diagnostic shortcut, but as a tool for clarity, context, and better decision-making in some of the most critical moments of car

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(00:00) Using Multi-Agent AI to Analyze Medical Records

(04:35) Steve Brown's Tech Background and Return to Healthcare

(08:25) How a Rare Cancer Diagnosis Was Initially Missed

(13:55) Why Modern Medicine Struggles With Complex Cases

(18:29) Multi-Agent Consensus and AI Reliability in Healthcare

(24:12) Large Context Windows, RAG, and Medical Data Organization

(28:24) Why CureWise Focuses on Patient Education, Not Diagnosis

(33:10) Precision Medicine, Genetics, and Personalized Treatment

(47:45) Why CureWise Launches Direct-to-Patient First

(53:19) The Future of AI-Driven Precision Medicine

#317 Steven Brown: Why Modern Medicine Needs AI-Assisted Decision Making