ARTIFICIAL INTELLIGENCE AS A CATALYST FOR ADVANCING MEDICAL DIAGNOSTIC METHODS

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in medical diagnostics, enabling faster, more accurate, and cost-effective disease detection. This paper explores various AI techniques, including machine learning, deep learning, and computer vision, which have enhanced diagnostic capabilities across specialties such as radiology, pathology, and cardiology. By automating complex image analysis and predictive modelling, AI supports early disease detection, personalized treatment planning, and reduction of diagnostic errors. The paper reviews recent case studies on successful AI applications and discusses challenges such as data privacy, ethical concerns, and integration into healthcare systems. This study highlights AI’s pivotal role in advancing diagnostic methods, contributing to improved patient outcomes and the future of precision medicine.