RT Journal Article SR Electronic T1 Current and future applications of artificial intelligence in pathology: a clinical perspective JF Journal of Clinical Pathology JO J Clin Pathol FD BMJ Publishing Group Ltd and Association of Clinical Pathologists SP 409 OP 414 DO 10.1136/jclinpath-2020-206908 VO 74 IS 7 A1 Emad A Rakha A1 Michael Toss A1 Sho Shiino A1 Paul Gamble A1 Ronnachai Jaroensri A1 Craig H Mermel A1 Po-Hsuan Cameron Chen YR 2021 UL http://jcp.bmj.com/content/74/7/409.abstract AB During the last decade, a dramatic rise in the development and application of artificial intelligence (AI) tools for use in pathology services has occurred. This trend is often expected to continue and reshape the field of pathology in the coming years. The deployment of computational pathology and applications of AI tools can be considered as a paradigm shift that will change pathology services, making them more efficient and capable of meeting the needs of this era of precision medicine. Despite the success of AI models, the translational process from discovery to clinical applications has been slow. The gap between self-contained research and clinical environment may be too wide and has been largely neglected. In this review, we cover the current and prospective applications of AI in pathology. We examine its applications in diagnosis and prognosis, and we offer insights for considerations that could improve clinical applicability of these tools. Then, we discuss its potential to improve workflow efficiency, and its benefits in pathologist education. Finally, we review the factors that could influence adoption in clinical practices and the associated regulatory processes.