Transforming Medical Diagnostics and Efficiency with Artificial Intelligence

Abstract

Artificial intelligence (AI) is powering medical laboratories in modern healthcare by enhancing diagnostic capabilities and operational efficiency. This review explores the transformative role of AI in laboratory medicine, from advanced diagnostic tools such as deep learning and machine learning to applications such as genetic analysis, automated microscopy, and predictive analytics. AI enhances testing utilization, streamlines workflows, and supports personalized medicine by leveraging massive datasets for accurate and timely diagnosis. Despite its potential, challenges such as data privacy, algorithmic bias, and regulatory compliance hinder seamless integration. Future developments, including explainable AI, smart labs, and remote diagnostic tools, promise to expand access to healthcare, improve patient outcomes, and optimize laboratory operations.