Artificial Intelligence in Oncology: Present Potential, Prospective Prospects, And Ethical Reviews

Abstract

Over the last ten years, Artificial Intelligence (AI) has significantly contributed to solving several health issues, such as cancer.Deep Learning (DL), a subset of adaptable AI that facilitates automated identification of important characteristics, is rapidly used in manyfundamental and clinical cancer investigation domains. This review provides a comprehensive overview of recent instances of AI utilizedin oncology. It highlights how DL techniques have effectively resolved previously deemed unsolvable issues and discusses the challengesthat must be addressed for the wider implementation of such applications. In addition, we emphasize valuable resources and datasets thatmight facilitate the use of AI in cancer research. In the next decade, the development of novel AI methods and their practical use willprovide valuable knowledge in the field of cancer. The advancement of AI technology has proven rapid in recent times and is beingincorporated into every facet of life. The medical profession is also advancing in the deployment of AI-equipped medical equipment. AI isanticipated to have a significant impact on achieving the present worldwide movement towards precision medicine. This article offers acomprehensive summary of the historical development of AI and the current advancements in medical AI, with a specific emphasis oncancer.In addition, while AI has significant promise, several unresolved concerns exist.

Machine learning's impact on medical education and research: beneficial or detrimental?

“…In the realm of oncology, AI plays a pivotal role, especially in breast cancer research and These technologies not only enhance understanding but also enable personalized learning experiences. AI applications monitor students' progress, providing real-time feedback for more effective and tailored education [26], [27]. The system may adjust its replies appropriately by presenting supplementary practice challenges or alternate explanations [28].…”