Analysis of the Effects of Artificial Intelligence (AI) Technology on the Healthcare Sector: A Critical Examination of Both Perspectives
Keywords:
Artificial Intelligence, Machine Learning, Healthcare, Health Services, Drug Design, Public HealthAbstract
In recent years, AI's impact has grown substantially, particularly in the medical industry. Its impact has been so far-reaching that it intends to establish itself as a cornerstone of the healthcare system of the future. We searched the PubMed database extensively for articles about artificial intelligence (AI) in healthcare and extracted the most pertinent data from those that met our criteria. Artificial intelligence (AI) is great at managing data, making accurate diagnoses quickly, and adapting to new situations, all of which may increase worker productivity. The Food and Drug Administration has steadily authorised more machine learning (ML) programs for usage by scientists and medical professionals in anticipation of this possibility. There are, however, a handful of contentious issues, including worries about clinical implementation, possible healthcare problems, and the likelihood of data breaches. This article explores the pros and cons of using AI in healthcare, and offers some suggestions on how to address the problems that may arise.