original artwork. Clicking on them will take you to their websites. I am grateful to the artists for sharing their work.describing Med-Gemini , a group of advanced AI models targeting healthcare applications. Authors claim that Med-Gemini is outperforming competing models such as GPT-4 of OpenAI.
Med-Gemini’s striking leap forward, if validated in real-world settings, is its ability to capture context and temporality; a known pitfall in existing health-related AI models. It’s true, we, physicians, are notorious for our abbreviations and lack of uniformity in documentation.
This exact contextuality seems to have been tackled by Med-Gemini through breaking away from the massive undertaking of building an all-encompassing general medical model. Instead, Google’s developers have adopted a vertical-by-vertical approach of related models, referred to as a “family” of models, each optimizing a specific medical domain or scenario.
As doctors are expected to keep abreast of recent research, Google seems to hold Med-Gemini to the same standard. The new model also incorporates a significant additional layer – a web-based search of up-to-date information, allowing augmentation of data with external knowledge, integrating online results into the model.
300 Billion Perfect Storm Bitcoin Price Crash Under 60 000 Suddenly Accelerates As Ethereum XRP And Crypto Brace For Shock Fed FlipThough Med-Gemini has leveraged diverse data sources, such as excerpts from health records, X-rays, photos of skin lesions, medical exam prep question and others– it is still important to remember what has yet to happen: a prospective, real-world validation on actual production-level data.have ushered the wind of progress with AI powered health advancements.
Source: Healthcare Press (healthcarepress.net)
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