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A retrospective study revealed that a deep learning model performed on par with radiologists in identifying clinically significant prostate cancer using multiparametric MRI. The study, published in the Radiology Journal, showcased the model's ability to achieve an area under the receiver operating characteristic curve (AUC) of 0.89, similar to experienced radiologists.
Prostate cancer, a common type of cancer affecting males, can be diagnosed using multiparametric MRI to detect clinically significant prostate cancer (csPCa). Researchers, led by Jason C. Cai, developed a deep learning model to predict the presence of csPCa without tumor location information and compared its performance with radiologists. The study included 5,735 patients, with the model demonstrating promising results in detecting prostate cancer.
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Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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