Article Abstract
A Review on Artificial Intelligence In cancer Treatment
Date: 2025-03-17
Authors: Arati R. Gavit*, Rutuja S. Deshmukh, Vrushali D. Bhabad, Raj P. Chitte, Yashoda R.Surywanshi
Abstract:
Artificial intelligence [AI] applications have transformed healthcare. AI aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data [structured and unstructured]. Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. Over the past decade, artificial intelligence has contributed substantially to the resolution of various medical problems, including cancer. In recent years, Artificial intelligence emerged as transformative forced in healthcare, revolutionizing patient care through smart technology solutions. This paper explores the profound impact of AI in patient care, particularly in the realms of novel approaches to cancer medicine. On the basis of a large quantity of medical data and novel computational technologies, AI has been applied in various aspects of oncology research and has the potential to enhance cancer diagnosis and treatment. In this thorough review, we explore the multifaceted role of AI in cancer medicine, highlighting its potential applications, challenges, and future directions. AI holds enormous promise for revolutionizing patient care and improving outcomes when integrated into various aspects of cancer medicine, including drug discovery and development, early detection and screening, and drug discovery. In this review, we introduced the general principle of AI, summarized major areas of its application for cancer diagnosis and treatment, and discussed. Keywords: Artificial Intelligence, Cancer, Healthcare, Breast cancer, lung, cancer, CAR T-Cell therapy, prostate cancer, colorectal cancer
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