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AI models lack clinical judgment for patient appointments despite vast medical training

AI models, despite potentially being trained on vast amounts of medical data, have not yet demonstrated the ability to independently conduct patient appointments. While useful for assisting medical professionals in checking for missed information, their current limitations as statistical pattern matchers mean they cannot replace human clinical judgment. The use of AI in healthcare raises questions about its reliability and the extent to which it should be integrated into patient care. AI

IMPACT AI's current limitations in clinical judgment highlight the need for caution and further development before widespread adoption in patient-facing healthcare roles.

RANK_REASON The item is an opinion piece discussing the limitations of AI in a specific domain (healthcare) rather than a release or significant industry event.

Read on Mastodon — fosstodon.org →

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AI models lack clinical judgment for patient appointments despite vast medical training

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    «All these # AI may have been trained with trillions of parameters, including all medical books, papers and procedures in existence. None has completed a patien

    «All these # AI may have been trained with trillions of parameters, including all medical books, papers and procedures in existence. None has completed a patient appointment to date». I get why doctors may use ChatGPT or similar to check if they missed something, but NOT when the…