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Inside the AI Health Stack: What Clinicians, Investors, and Patients Actually Use today

Inside the AI Health Stack: What Clinicians, Investors, and Patients Actually Use today

Published 1 year, 1 month ago
Description

In this episode, we dive into a first-of-its-kind AI healthcare landscape report built with Gemini and human insight. Based on structured data, stakeholder interviews, and applied LLM analysis, this research identifies what AI solutions are actually in use today and why when deploying AI in healthcare—from the clinic to the boardroom.

We explore:

  • The top use cases for AI in 2025 across diagnostics, care delivery, operations, and patient engagement

  • Clinician and hospital pain points: workflow friction, training gaps, EHR overload

  • Investor signals: where funding is flowing—and where it's not

  • A breakdown of the "AI Health Stack": Infrastructure, Algorithms, Applications, Ethics

  • The surprising disconnects between patient expectations and provider adoption

This episode offers a grounded, forward-looking take on which AI solutions are cutting through the hype—and why successful adoption will require more than just great tech.


This episode is an AI-generated conversation summarising a public document; the hosts' voices are synthetic. Information only, not medical advice.

Full transcript: https://ai-in-medicine-podcast.vercel.app/episodes/inside-the-ai-health-stack-what-clinicians-investors-and-patients-actu-80826c

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