A meta-study on optimizing healthcare performance with artificial intelligence and machine learning
Abstract
This study explores the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare, focusing on enhancing patient care through operational efficiency and medical innovation. Employing a meta-study approach, it comprehensively analyzes the applications and ethical aspects of AI and ML in healthcare, highlighting successful implementations like IBM Watson for Oncology and Google DeepMind’s AlphaFold. The research emphasizes AI’s significant contributions to diagnostics, precision medicine, and medical imaging interpretation, alongside its role in optimizing healthcare operations and enabling personalized medicine through data analysis. However, it also addresses challenges such as algorithmic bias, safety, data privacy, and the need for regulatory frameworks. The study underlines the importance of continued research, interdisciplinary collaboration, and adaptive regulations to ensure the responsible and ethical use of AI and ML in healthcare.
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DOI: https://doi.org/10.32629/jai.v7i5.1535
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