Using routinely acquired pathology slides, the model accurately predicts the origin of cancers with unknown primary tumors. In 1 to 2 percent of cancer cases, the primary site of tumor origin cannot be determined. Because many modern cancer therapeutics target primary tumors, the prognosis for a cancer of unknown primary (CUP) is poor, with a...
Tag: <span>artificial intelligence system</span>
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New artificial intelligence system can empower medical professionals in diagnosing skin diseases
Researchers in Korea have developed a deep learning-based artificial intelligence (AI) algorithm that can accurately classify cutaneous skin disorders, predict malignancy, suggest primary treatment options, and serve as an ancillary tool to enhance the diagnostic accuracy of clinicians. With the assistance of this system, the diagnostic accuracy of dermatologists as well as the general public...