Med-Gemini beats GPT-4, achieves 91.1% accuracy in medical diagnostics

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Med-Gemini beats GPT-4, achieves 91.1% accuracy in medical diagnostics
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Google's Med-Gemini has been tested on 14 medical benchmarks and has established a new state-of-art (SOTA) performance on 10.

Still in the research phase, Med-Gemini has been equipped with the latest technology that can even surpass popular industry standards, according to Google researchers.Google shares that Med-Gemini, an advanced AI model specialized in medicine, is more factually accurate, reliable, and produces nuanced results for complex clinical tasks than OpenAI’s GPT-4.Google’s Gemini models were by default well armed with advanced technologies.

They used a huge publicly available database, the Medical Information Mart for Intensive Care or MMIC-III, which consisted of the deidentified health data of patients who were admitted to intensive care. The main purpose behind the task was to pick out a relevant mention of a rare and subtle medical condition, symptom, or procedure over a huge collection of data in the EHR.

“Perhaps the most notable aspect of Med-Gemini is the long-context processing capabilities because they open up new performance frontiers and novel, previously infeasible application possibilities for medical AI systems,” said the researchers.Amid all the positivity centered around Med-Gemini, what does the future look like? In the words of the researchers, there’s a lot to be done. However, Med-Gemini has definitely showcased a promising future for itself.

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