Current status of artificial intelligence in cancer management: emerging trends, limitations and future outlook

Abstract

<title>Abstract</title> Artificial intelligence (AI) has been abetted in the progression of health care research including cancer research. Simultaneously, in this review, we anticipate the future outlook of AI. AI can adjust the usage of anticancer drugs and also can estimate the tolerance of anticancer drugs, thus improving cancer chemotherapy. AI can assist physicians to make accurate decisions for treatment, and decrease unnecessary surgeries, moreover AI aid oncologists to progress the strategies for cancer patient's treatment. NCI suggests that AI, Machine learning (ML), and deep learning (DL) all can be used to progress cancer care as well as patient outcomes. In cancer management, AI can progress the precision and rapid diagnosis, help in making a clinical decision, and also lead to better health outcomes. AI technologies i.e. ML can intensely enhance the current approach to anticancer drug research. We discuss cancer diagnostics in the oncology-associated area wherein clinically AI already has shown a huge effect. But currently recognized AI also has some limitations. In the current review, the progression of AI technology i.e. ML and DL in anticancer drug research, furthermore presents applications, limitations, and future directions in cancer. With the growing trend of the uses of AI in cancer research, ML has an important future in prognostication and decision-making.

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