Abstract

Artificial Intelligence (AI) is transforming the healthcare industry, particularly in the field of clinical diagnostics. AI algorithms, machine learning models, and deep learning techniques are now being applied to analyze medical data, detect diseases, and enhance diagnostic accuracy. These innovations allow for earlier detection, improved decisionmaking, and more personalized treatment plans. This article explores the role of AI in clinical diagnostics, examining its current applications, challenges, and future potential. The benefits of AI in diagnosing conditions such as cancer, cardiovascular diseases, and neurological disorders are highlighted, alongside the barriers to its widespread adoption, including data privacy concerns and integration challenges