Revolutionizing Diagnostic Pathology: The Emergence and Impact of Artificial Intelligence- What Doesn’t Kill You Makes You Stronger?

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Abstract

This study explores the integration and impact of artificial intelligence (AI) in diagnostic pathology, particularly dermatopathology, assessing its challenges and potential solutions for global healthcare enhancement. A comprehensive literature search on PubMed and Google Scholar, conducted on March 30, 2023, using terms related to AI, pathology, and machine learning, yielded 44 relevant publications. These were analyzed under themes including the evolution of deep learning in pathology, AI’s role in replacing pathologists, development challenges of diagnostic algorithms, clinical implementation hurdles, strategies for practical application in dermatopathology, and future prospects of AI in this field. The findings highlight AI’s transformative potential in pathology, underscore the need for ongoing research, collaboration, and regulatory dialogue, and emphasize the importance of addressing the ethical and practical challenges in AI implementation for improved global healthcare outcomes.Copyright © 2024. Published by Elsevier Inc.