Application of Artificial Intelligence in Cancer Management with a Personalized Medicine Approach

Recently, the medical profession has seen an accelerated integration of devices equipped with artificial intelligence (AI) technology, thanks to significant advancements in this area. Over 60 medical devices integrated with AI have already received approval from the Food and Drug Administration (FDA) in the United States. The widespread use of AI technology in medicine is seen as an unavoidable trend soon. AI technology is now being used in the area of cancer, particularly in radiology, for clinical use of medical equipment. It is anticipated that AI technology will become a crucial core technology in this industry. Precision medicine, which involves selecting the most suitable treatment for each patient based on extensive medical data like genome information, has gained global popularity. AI technology is anticipated to play a crucial role in extracting valuable data from vast medical datasets and applying it to medical care. Cancer is the second most prevalent global illness that relies on oncogenic mutations and non-mutated genes for its survival. The significant variability of tumors may result in varying curative results when using the same medications or surgical procedures in people with the same tumor. This highlights the need for more precise treatment approaches for tumors and personalized therapies tailored to individual patients. We summarize current and noteworthy AI advances in cancer research in this report. We also discuss AI’s limitations, challenges, and potential effects on cancer therapy. We also explored AI in omics, pathology, and medical imaging.