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Google’s Med-Gemini Model Achieves 91.1% Accuracy in Medical Diagnostics

The model has established a state-of-the-art performance on 10 benchmarks.
ML in healthcare
Researchers from Google and DeepMind have developed Med-Gemini, a new family of highly capable multimodal AI models specialised for medicine. The paper, published yesterday, builds upon the Gemini 1.0 and 1.5 models released in 2023, which demonstrated breakthrough capabilities in language, multimodal understanding, and long-context reasoning. The paper stated that, “Med-Gemini inherits Gemini's foundational capabilities in language and conversations, multimodal understanding, and long-context reasoning.” The model brings new possibilities for AI in medicine, such as assisting with complex diagnostic challenges, engaging in multimodal medical dialogue, and processing lengthy electronic health records.  The researchers specialised the Gemini models for medicine using t
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K L Krithika
K L Krithika is a tech journalist at AIM. Apart from writing tech news, she enjoys reading sci-fi and pondering the impossible technologies, trying not to confuse it with reality.
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