Use of Artificial Intelligence in Preventing and Treating Neuronal Cancer

Within the field of computer science, artificial intelligence (AI) encompasses studies in robotics, natural language processing, image recognition, and expert systems. Cancer is not an exception to the trend that AI is prepared to bring about in the medical field. Neuronal cancer truly has the greatest morbidity and fatality rate in the globe. The primary cause is the difficulty in linking early tumors in the specific brain or neurons to cancerous alterations and a variety of other conditions that result in difficult treatment decisions and a dismal prognosis. AI has the potential to significantly improve cancer diagnosis rates, provide the best possible care, assess prognosis, and lower death rates. Personalized clinical treatment and cancer research are quickly changing due to artificial intelligence (AI). The availability of high-dimensionality datasets, improvements in high-performance computers, and novel deep learning architectures have all contributed to the rise in the application of AI in cancer research. The goal of this study is to present an overview of AI that is pertinent to all areas of cancer research. This chapter outlines the fundamentals of artificial intelligence (AI) and discusses how machine learning, natural language processing, image recognition, and human–computer interaction work. Also go over the most current developments in AI technology and how they might be used in medicine to diagnose, treat, and predict cancer patients. Finally, we discuss the implications of AI for cancer research and management as well as its future problems.