大阪大学の研究グループが、全国22病院の腎生検画像を用いた大規模多施設AI研究により、病院や検査装置が異なっても高精度に病変を検出できるAIモデルの開発に成功したと発表した。異なる病院間でAIモデルを共有・活用できる基盤技術としての可能性を ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 ...
The Canadian Press on MSN
Talking cows? NS researchers think they are getting closer to understanding moos
Researchers at Dalhousie University are hoping to answer that question. Led by Dr. Ghader Manafiazar, the team at Dalhousie’s ...
Morning Overview on MSN
Scientists build a ‘periodic table’ for AI models
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
SeeTrue AI, a global leader in AI-powered security screening, is proud to announce that its SeeTrue Automated Prohibited Items Detection Software (APIDS) has become the first and only solution to ...
According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
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