Abstract

A REVIEW ARTICLE ON THE ROLE OF ARTIFICIAL INTELLIGENCE IN CANCER CARE AND RESEARCH

Dr. Md Wasiullah, Piyush Yadav*, Vedansh Singh, Vineet Kumar Singh

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Abstract

Cancer is a progressive disease with a low median survival rate. Ironically, the high recurrence and mortality rates make the treatment process long and very costly. Accurate early diagnosis and prediction of cancer is essential to improve patient survival. Developments in statistics and computing over the years have led many scientists to use computational techniques such as multivariate statistical analysis to analyze disease prognosis, and the accuracy of such analyzes has exceeded the accuracy of empirical predictions. was also significantly higher. In recent years, the power of cancer prediction has reached new heights as artificial intelligence (AI), especially machine learning and deep learning, has found common applications in clinical cancer research. This article reviews the literature on the application of AI in cancer diagnosis and prognosis and summarizes its benefits. Explore how AI can support cancer diagnosis and prognosis. Especially considering its unprecedented accuracy, which is even higher than common statistical applications in oncology. It also shows how these methods advance the fields. Finally, we discuss opportunities and challenges in clinical implementation of AI. Therefore, this article provides a new perspective on how AI technology can improve cancer diagnosis and prognosis and further improve human health in the future.

Keywords: Cancer diagnosis, Prognosis prediction, Deep learning, Machine learning.