
Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostic accuracy, personalizing treatment, and improving operational efficiencies. This paper reviews the current applications of AI in healthcare, including machine learning in medical imaging, predictive analytics, and robotic-assisted surgeries. The study also addresses challenges such as data privacy, ethical considerations, and integration with existing healthcare systems. Future directions emphasize the need for robust AI models, regulatory frameworks, and multidisciplinary collaboration to fully realize AI�s potential in healthcare.
Artificial intelligence, Healthcare applications, Medical diagnostics, Machine learning, Health technology
Artificial intelligence, Healthcare applications, Medical diagnostics, Machine learning, Health technology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
