Artificial intelligence and machine learning in healthcare: Transforming clinical practice and addressing challenges

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are
revolutionizing healthcare by improving patient outcomes,
enhancing diagnostics, and optimizing clinical workflows.
AI-powered systems are increasingly being adopted to
assist in diagnostics, personalized medicine, radiology,
and predictive analytics, offering improved accuracy and
efficiency in clinical decision-making. 1 However, these
advancements also pose significant ethical, regulatory, and
bias-related concerns that require careful consideration to
ensure equitable and safe implementation.