A Meta-Study on Optimizing Healthcare Performance with Artificial Intelligence and Machine Learning

Abstract

This look at explores the transformative impact of synthetic Intelligence (AI) and device gaining knowledge  (ML)in healthcare, focusing on enhancing patient care via operational performance and medical innovation. using a meta study approach, it comprehensively analysis the applications and ethical aspects of AI and ML in healthcare, highlighting a success implementations like IBM Watson for Oncology and Google Deep Mind's AlphaFold. The studies emphasizes AI's huge contributions to diagnostics, precision medicine, and scientific imaging interpretation, alongside its role in optimizing healthcare operations and permitting personalised medicinal drug thru facts evaluation. but, it additionally addresses challenges together with algorithmic bias, safety, records privateness, and the need for regulatory frameworks. The take a look at underlines the importance of endured research, interdisciplinary collaboration, and adaptive regulations to ensure the accountable and moral use of AI and ML in healthcare. keywords: synthetic intelligence; machine studying; healthcare; operational performance; clinical innovation; ethical concerns; personalized medication; regulatory frameworks..