Artificial intelligence in oncology

Breakthroughs in artificial intelligence allowed its increased application in various areas of both basic and clinical cancer research. Authors from Japan looked into examples of machine and deep learning in oncology. Three main directions of use are being reviewed: application to image analysis, genomic data interpretation and precise personalized treatment development. Based on recent advances, the FDA has finally begun the approval of clinical medical devices based on deep learning. Arterys imaging platform is an example, helping physicians track tumors with MRI and CT scans for lung and liver cancer. Other startups such as PAIGE.AI, Proscia, and PathAI help to detect, diagnose and predict certain cancer types. Digitization of health care is substantially changing physicians workflow, providing both healthcare providers and patients with new treatment options.

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