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Why Clinical AI Fails - And How Co-Design Fixes It | Healthcare AI Daily

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Why Clinical AI Fails - And How Co-Design Fixes It | Healthcare AI Daily

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Most clinical AI models fail in deployment. Not because the algorithms are wrong, but because clinicians were never asked how they should work. Feng J et al. - npj Digital Medicine (2026) DOI: 10.1038/s41746-026-02838-5 This framework embeds clinician expertise directly into the AI development pipeline, producing more trustworthy and clinically meaningful predictions. Like and subscribe for daily Healthcare AI research translations. #HealthcareAI #ClinicalAI #HumanAI #DigitalHealth Watch this episode on YouTube: https://youtu.be/dfmxbA8okRE YouTube Channel: https://www.youtube.com/@RaphaelMalikian-g4h Created by Raphael T. Malikian (rtmalikian@gmail.com). In true AI fashion, this podcast was created with AI tools including text-to-speech using Microsoft Edge TTS and Hermes Agent by Nous Research.

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