Description

Learn more about facial vital sign detection: shen.ai & caire.ai

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Healthcare has historically lagged in digitalization, creating a significant opportunity for artificial intelligence to jump-start the industry. Host Daniel Kazani sits down with Dr. Lucas Mittelmeier, an investor at Heal Capital, to discuss why the sector's heavy administrative burden makes it a prime target for disruption. They explore the reality of "Shadow AI," where physicians bypass slow hospital IT systems to use tools like ChatGPT for daily tasks. Lucas explains how the industry is splitting into two distinct speeds: highly regulated clinical tools and agile administrative workflows. The conversation also highlights cutting-edge innovations, including facial analysis software that reads vital signs via a camera and vocal biomarkers that detect heart failure.

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Guest Bio

Dr. Lucas Mittelmeier is a physician-turned-investor at Heal Capital, a leading European healthtech venture capital firm. With a background bridging clinical medicine, strategy consulting, and startup leadership, he evaluates companies through both medical and business lenses. He is also the author of the Healthtech Off The Record newsletter, where he provides data-driven analysis of industry trends. At Heal Capital, he focuses on sourcing and leading deals from Pre-Seed to Series A.

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What We Cover

1. Why the lack of legacy digital infrastructure in healthcare might actually accelerate AI adoption.
2. The phenomenon of "Shadow AI" and why doctors are using consumer tools despite strict hospital regulations.
3. How administrative AI is moving faster than clinical diagnostic tools due to lower regulatory barriers.
4. The potential for "facial parameters" in which video can detect heart rate, blood pressure, and oxygen saturation.
5. Using vocal biomarkers to identify conditions like heart failure by analyzing fluid buildup in the lungs.
6. How typing patterns on a keyboard can serve as early indicators for depression.
7. Why specialized "AI Therapist" startups have struggled to compete with general Large Language Models.
8. The four key moats for healthtech startups: data advantages, network effects, deep customer service, and brand trust.

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Resources Mentioned

1. Heal Capital
2. OpenAI (ChatGPT)
3. Anthropic...