Artificial Intelligence In The Diagnosis And Treatment Of Cancer

Abstract

Cancer is a major worldwide health concern, necessitating the development of novel strategies to improve detection and treatment outcomes. The present study delves into the significant contributions that artificial intelligence (AI) has made to the field o f cancer. It specifically highlights the applications of AI in diagnosis, personalized treatment, and clinical trial optimization. Diagnostic procedures have been transformed by recent advances in AI, particularly through the use of machine learning and de ep learning techniques. AI systems are becoming more and more accurate at interpreting medical imaging, including radiographs and histopathology slides, often outperforming human specialists in this regard. Furthermore, by combining genetic, lifestyle, and environmental data, AI - driven predictive models are showing promise in determining a person's risk of developing cancer. Artificial intelligence is a key factor in the advancement of personalized medicine in the field of cancer treatment. AI can assist me dical professionals in determining the best course of action for each patient by combining vast datasets from clinical trials and genomic research. Furthermore, AI is expediting the process of finding new drugs and repurposing old ones for cancer therapies . Additionally, this review discusses ethical concerns about the use of AI, such as algorithmic bias and privacy concerns pertaining to patient data. The application of AI technologies in oncology emphasises how important it is to have strong regulatory fr ameworks in place to guarantee patient safety and fair access to treatment.