AI-powered tool helps doctors detect rare diseases
In her first year at the David Geffen School of Medicine at UCLA, Katharina "Kat" Schmolly, MD, heard an old saying: "When you hear hoofbeats, think of horses, not zebras."
Jul 3, 2024
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In her first year at the David Geffen School of Medicine at UCLA, Katharina "Kat" Schmolly, MD, heard an old saying: "When you hear hoofbeats, think of horses, not zebras."
Jul 3, 2024
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An algorithm can help health care professionals recognize which patients have a highly aggressive form of basal cell carcinoma (BCC) of the face. If more BCCs are correctly identified as high-risk, the patients can directly ...
Jul 2, 2024
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As patients with lung cancer live longer, the risk of long-term cardiac side effects of radiation therapy has been increasing, despite advances that reduce the radiation dose to the heart. New research uses machine learning ...
Jun 27, 2024
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An article recently published in The Journal of Rheumatology by UK Health care's Jagannadha (Jay) Avasarala, M.D., Ph.D., professor of neurology, outlines the promise of point of care ultrasound (POCUS) in the diagnosis of ...
Jun 26, 2024
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Soft tissue sarcomas (STSs) represent a diverse group of tumors that pose significant diagnostic and therapeutic challenges. In a recent review published in the journal Meta-Radiology, a team of researchers from The Second ...
Jun 20, 2024
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Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are increasingly transforming the medical field by enhancing diagnostic accuracy, prognostic predictions, precision treatments, and operational efficiency ...
Jul 2, 2024
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