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Research Paper | Computer Science and Information Technology | United States of America | Volume 10 Issue 10, October 2021 | Rating: 3.7 / 10
The Impact Artificial Intelligence (A.I) on Healthcare: Opportunities & Future Challenges
Rajesh Palthya [4] | Balaji Barmavat [3] | Satya Prakash Karey Bellevue
Abstract: Artificial Intelligence (A.I) has emerged as a transformative force in healthcare, potentially revolutionizing diagnostics, treatment planning, and patient care. This paper explores the applications of A.I. in healthcare, focusing on its benefits, challenges, and future implications. The research highlights how A.I. can enhance diagnostic accuracy, personalize treatment plans, and improve operational efficiency. However, it also discusses the ethical, legal, and technical challenges that must be addressed to realize that A.I. sA.I. is still entirely in healthcare. A.I. tries to replicate human cognitive functions. It is ushering in a paradigm shift in healthcare, fueled by the increased availability of healthcare data and the rapid advancement of analytics tools. We examine the current state of A.I applications in healthcare and evaluate their potential. A.I. can be applied to both organized and unstructured healthcare data. Machine learning methods for structured data, such as the classical support vector machine, neural network, and current deep learning, are popular A.I. techniques. Natural language processing is also used for unstructured data. Cancer, neurology, and cardiology are three major illnesses where A.I. methods are used. We then explore the A.I. applications in stroke in the three primary areas of early detection, diagnosis, and treatment.
Keywords: Artificial Intelligence, Healthcare, Diagnostics, Treatment Planning, Ethics, Machine Learning
Edition: Volume 10 Issue 10, October 2021,
Pages: 1655 - 1661