ABSTRACT: Artificial intelligence (AI) has emerged as a transformative technology in clinical diagnosis, enabling improved accuracy, efficiency, and early disease detection. AI-driven tools, including machine learning and deep learning algorithms, are increasingly used in radiology, pathology, and predictive analytics. These technologies assist healthcare professionals in analyzing complex medical data and identifying patterns that may not be easily recognized through traditional diagnostic methods. Despite its advantages, challenges such as data privacy, algorithmic bias, lack of interpretability, and ethical concerns limit its full-scale adoption in clinical practice. This paper explores the opportunities and challenges of AI in clinical diagnosis, highlighting its impact on healthcare delivery and future prospects.

KEYWORDS: artificial intelligence, clinical diagnosis, machine learning, healthcare, deep learning, medical imaging.

ARTIFICIAL INTELLIGENCE IN CLINICAL DIAGNOSIS: OPPORTUNITIES AND CHALLENGES

MANOJ
ASSISTANT PROFESSOR, DEPARTMENT OF MEDICAL LABORATORY TECHNOLOGY, LORD SHIVA COLLEGE OF PHARMACY, SIRSA(HARYANA),

RITU RANI
LECTURER, DEPARTMENT OF MEDICAL LABORATORY TECHNOLOGY,GOVT. POLYTECHNIC JAMALPUR SHEKHON, TOHANA , FATHEBAD (HARYANA.)