ARTIFICIAL INTELLIGENCE IN MODERN HEALTHCARE: APPLICATIONS, BENEFITS, AND CHALLENGES IN CLINICAL PRACTICE

Abstract

Abstract: Artificial Intelligence (AI) has emerged as one of the most transformative technologies in modern healthcare. By integrating advanced computational techniques, machine learning algorithms, and data analytics into healthcare systems, AI has significantly improved diagnostic accuracy, treatment planning, patient monitoring, and administrative efficiency. The increasing availability of healthcare data and advancements in computing power have accelerated the adoption of AI across various medical disciplines. Despite its numerous benefits, AI implementation faces challenges such as data privacy concerns, ethical issues, algorithmic bias, and regulatory complexities. This paper examines the concept of AI in healthcare, explores its major applications, discusses its benefits, and analyzes the challenges associated with its integration into clinical practice. The study concludes that while AI offers substantial opportunities for enhancing healthcare delivery, careful management of ethical, legal, and technological issues is essential for its sustainable implementation.

Keywords: Artificial Intelligence, Healthcare, Machine Learning, Clinical Practice, Medical Diagnosis, Digital Health.