| Abstrakt: |
The integration of Artificial Intelligence (AI) and Machine Learning (ML) into healthcare systems has gotten a lot of attention, Because of its potential to revolutionize several elements of medical practice. This review article critically analyses AI and ML's varied functions in healthcare, highlighting its contributions in areas such as medical imaging, clinical diagnostics, drug development, patient management, and healthcare operations. This study explains how AI and ML technologies are altering healthcare by improving accuracy, efficiency, and decision-making via an in-depth overview of recent studies, applications, and problems. Ethical concerns, constraints, and future paths in realizing the full potential of AI and ML in healthcare are also discussed. By synthesizing current knowledge, this review provides a comprehensive understanding of the evolving landscape where technology and medicine intersect, providing insights critical for researchers, practitioners, and policymakers navigating the transformative journey of AI and ML in healthcare. The paper examines the dramatic effect of AI and ML cooperation on medical care, highlighting both its potential advantages and future difficulties. [ABSTRACT FROM AUTHOR] |
