Abstract
Artificial Intelligence (AI) is rapidly transforming healthcare diagnostics by providing advanced tools for medical decision-making, disease detection, and patient care. AI technologies, including machine learning (ML) and deep learning (DL), have shown great potential in automating the diagnostic process, reducing human error, and improving the accuracy of medical predictions. This article explores the role of AI in healthcare diagnostics, highlighting its applications in areas such as radiology, pathology, genomics, and personalized medicine. The paper also discusses the challenges and opportunities associated with AI integration into healthcare systems, including ethical considerations and regulatory frameworks.
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