Artificial Intelligence Applications in Cancer Diagnosis

Abstract

Artificial intelligence (AI) is the use of mathematical algorithms to simulate human cognitive skills and to handle challenging healthcare concerns such as cancer. The exponential progress of AI in the recent decade demonstrates its promise as a platform for optimum decisionmaking by superintelligence, since the human mind is constrained to processing large amounts of data in a short period of time. Cancer is a complex disease with hundreds of genetic and epigenetic variants. AI-based techniques show significant potential for identifying these genetic alterations and abnormal protein interactions at an early stage. Modern biomedical research is also focused on bringing AI technologies to clinics in a safe and ethical manner. AI-based help to pathologists and clinicians might be a huge step forward in disease risk, diagnosis, prognosis, and therapy prediction. AI and Machine Learning (ML) clinical applications in cancer diagnosis and therapy are the future of medical guidance toward speedier mapping of a new treatment for each person. Researchers may cooperate in realtime and exchange information digitally by employing an AI base system method, which has the potential to treat millions. We concentrated on presenting gamechanging technologies of the future in clinics by linking biology with Artificial Intelligence and explaining how AIbased aid helps oncologists for accurate therapy in this evaluation.