Webology (ISSN: 1735-188X) Volume 18, Number 5, 2021 3779 http://www.webology.org Benefits Of Artificial Intelligence In Healthcare Sai Nitisha Tadiboina Northern Boulevard, Valentines Ln, Old Westbury, NY 11568 Abstract Big data and machine learning are impacting almost every aspect of modern life, from entertainment to commerce to healthcare. Some type of AI is already in use by payers and healthcare providers, as well as life science companies. The main application categories relate to diagnostic and treatment recommendations, patient engagement and compliance, and administrative activities. While there are many cases where AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professionals in a single environment. AI is ready to assist healthcare workers in a variety of tasks, from administrative processes to clinical documentation and patient education, as well as expert support such as image analysis, medical device automation, patient monitoring and more. There is great optimism that the application of AI can bring about significant improvements in every area of healthcare, from diagnosis to treatment. It is generally accepted that AI tools will facilitate and improve human work and will not replace the work of doctors and other medical personnel. Keywords Artificial intelligence, healthcare applications, machine learning, electronic health record systems, ambient assisted living, clinical decision support, machine vision Introduction Artificial intelligence (AI) is rapidly evolving in healthcare with its potential to unleash the power of big data and gain insights to support evidence-based clinical decision-making. evidence and obtain value-based care. It is vital that healthcare leaders understand the state of AI technologies and how these technologies can be used to improve the efficiency, safety, and accessibility of healthcare services, supporting digital transformation healthcare. There is already some research showing that AI can perform as well or better than humans in important health tasks, such as diagnosing diseases. Today, algorithms have outperformed radiologists in detecting malignancies and guiding researchers on how to build cohorts for expensive clinical trials. For example, stand-alone diagnostic applications have proven to be less clinically acceptable unless integrated into integrated environments such as electronic medical records. However, there are also significant challenges to the usefulness of AI tools for patients. More importantly, information technology promises to empower patients or consumers of healthcare. The demand for medical services is constantly increasing and many countries are experiencing shortages of medical professionals, especially doctors. Healthcare organizations also struggle to keep up with all the new technology developments and high patient expectations for service