Source link : https://health365.info/conventional-diagnostic-resolution-enhance-techniques-outperform-generative-ai-for-diagnosing-illness/
A screenshot of the DXplain app, an AI-driven diagnostic resolution enhance techniques (DDS) evolved by way of pc scientists at Massachusetts Normal Sanatorium’s Laboratory of Pc Science. Credit score: Mass Normal Brigham
Clinical execs were the usage of synthetic intelligence (AI) to streamline diagnoses for many years, the usage of what are known as diagnostic resolution enhance techniques (DDSSs). Pc scientists at Massachusetts Normal Sanatorium (MGH) first evolved MGH’s personal DDSS known as DXplain in 1984, which will depend on hundreds of illness profiles, medical findings, and knowledge issues to generate and rank possible diagnoses to be used by way of clinicians.
With the popularization and greater accessibility of generative AI and big language fashions (LLMs) in medication, investigators at MGH’s Laboratory of Pc Science (LCS) sought to match the diagnostic functions of DXplain, which has developed during the last 4 many years, to common LLMs.
Their new analysis compares ChatGPT, Gemini, and DXplain at diagnosing affected person instances, revealing that DXplain carried out rather higher, however the LLMs additionally carried out smartly. The investigators envision pairing DXplain with an LLM because the optimum means ahead, as it could make stronger each techniques and support their medical efficacy. The consequences are printed in JAMA Community Open.
“Amid all the interest in large language models, it’s easy to forget…
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Publish date : 2025-05-29 21:29:00
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