ARTIFICIAL INTELLIGENCE IN HEALTHCARE: DIAGNOSIS AND TREATMENT

Abstract

ABSTRACT: Artificial Intelligence (AI) has emerged as a transformative force in the healthcare sector, significantly enhancing diagnostic accuracy and treatment efficiency. This study explores the role of AI technologies such as machine learning, deep learning, and natural language processing in healthcare diagnosis and treatment. The research highlights how AI-driven tools assist in early disease detection, personalized treatment planning, and improved patient outcomes. The study also discusses challenges such as ethical concerns, data privacy, and implementation barriers. The findings suggest that AI has the potential to revolutionize healthcare delivery by improving accuracy, reducing costs, and enabling faster decision-making. Keywords: Artificial Intelligence (AI), Healthcare, Medical Diagnosis, Treatment Efficiency, Machine Learning, Deep Learning, Natural Language Processing (NLP), Disease Detection, Personalized Medicine, Clinical Decision Support Systems, Healthcare Innovation, Patient Outcomes, Data Privacy, Medical Technology