The Role of Artificial Intelligence in Modern Laboratory Practices: A Comprehensive Overview

Abstract

This study provides a comprehensive overview of the role of artificial intelligence (AI) in modern laboratory practices, utilizing secondary data from a variety of sources. The integration of AI technologies into laboratory settings has become increasingly prevalent, leading to significant advancements in efficiency, accuracy, and innovation. By analyzing existing literature, case studies, and industry reports, this research identifies key areas where AI is making a substantial impact, including automation of routine tasks, enhancement of data analysis capabilities, and facilitation of personalized medicine. Furthermore, the study explores the challenges and limitations associated with AI implementation, such as data privacy concerns, the need for high-quality datasets, and the requirement for interdisciplinary collaboration. The findings underscore the transformative potential of AI in revolutionizing laboratory operations while highlighting the need for strategic planning to address associated hurdles. Ultimately, this study serves as a valuable resource for researchers, practitioners, and policymakers aiming to harness the full potential of AI in laboratory environments.