AI Applications in Healthcare a Comprehensive Review of Advancements and Challenges

Balaram Yadav Kasula

Abstract


This comprehensive review delves into the burgeoning intersection of Artificial Intelligence (AI) and healthcare, presenting an extensive analysis of AI applications, innovations, and the associated challenges within the healthcare landscape. Examining the transformative potential of AI encompassing machine learning, deep learning, natural language processing, and computer vision, the paper surveys breakthroughs in diagnostics, predictive analytics, precision medicine, and operational enhancements within healthcare systems. Concurrently, it scrutinizes ethical considerations, algorithmic biases, interpretability, regulatory constraints, and integration complexities that impede the seamless adoption of AI in healthcare. Drawing insights from diverse sources, this review consolidates the current state of AI in healthcare, emphasizing the need for collaborative initiatives among healthcare practitioners, technologists, regulators, and ethicists to navigate challenges and unlock the holistic potential of AI for the betterment of healthcare.

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References


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