The Role of Artificial Intelligence in Enhancing Diagnostic Accuracy in Clinical Medicine
Keywords:
Artificial Intelligence, diagnostic accuracy, machine learning, clinical medicine, medical imaging, deep learning, healthcare technologyAbstract
Abstract: Artificial Intelligence (AI) is rapidly transforming the landscape of clinical medicine, particularly in diagnostic processes. This research examines how AI improves diagnostic accuracy by integrating vast datasets, enabling early detection, and minimizing human error. AI-driven technologies like machine learning algorithms and deep learning models have proven to outperform traditional diagnostic methods in specific areas, such as imaging and pattern recognition. However, integrating AI into routine clinical practice poses challenges, including data privacy concerns, ethical considerations, and the need for regulatory oversight. This paper explores the benefits, challenges, and future directions of AI in enhancing diagnostic accuracy.
