AI vs. Doctors: Fixing the Misdiagnosis Crisis (w/ Matt Crowson, MD)
Humans are surprisingly bad at diagnosing common conditions. AI might be better. We talk to Dr. Matt Crowson about the "Diagnostic Gap," why your doctor is burned out, and how AI can handle the "unsexy" admin work so physicians can get back to saving lives.
#AIHealthcare #MedTech #PromptlySpeaking
💡 Topics Covered:
Why humans are surprisingly bad at diagnosing common conditions
How AI can reduce diagnostic variability without replacing clinicians
Pediatric ear infections as a global health problem
AI in low-resource and rural healthcare settings
Administrative burnout and “pajama time” for clinicians
Ambient scribes and inbox triage as early AI wins
Payers vs providers and how healthcare actually works
Accountability and liability when AI is involved in care
Why healthcare AI moves slower than other industries
How patients can use generative AI today without over-trusting it
⏱ Timestamps:
00:00 Introduction to ear infections and AI in healthcare
00:44 Meet Matt Crowson: from ENT surgeon to AI advocate
01:36 Payers vs providers and how the healthcare system functions
02:39 AI and administrative burden in clinical work
04:55 Privacy, safety, and regulatory barriers to AI adoption
09:37 What a Chief Medical Officer does in an AI company
13:37 AI in rural healthcare and pediatric ear infection case study
26:35 Accountability and liability in AI-assisted care
26:51 The scalpel analogy and human responsibility
29:57 AI’s potential impact on healthcare costs
30:41 Generative AI and patient empowerment
36:10 What the future of AI in healthcare may realistically look like
36:40 How AI tools are implemented inside hospitals
38:35 Real-world AI deployments and auditing41:14 Vendor and healthcare system partnerships
42:01 Practical advice for patients using generative AI
45:07 Final reflections
How to Find Matt:
LinkedIn: / matthewgcrowson
Follow Sara & Dan:
Sara: / saralynneroberts
Dan: / danroberts27
Email: [email protected]