Sponsored by PNPL
Digital Pathology Part 2
The novel technologies supporting digital pathology systems are increasing in number and capabilities. Use of digital pathology systems including machine learning/artificial intelligent clinical decision support tools will change current pathology workflows. This presentation will cover the implications in the laboratory and pathology workflows as well as discuss basics of machine learning related to pathology.
- How digital pathology can and will change the pathology laboratory
- Image analysis and its application in digital pathology
- The role of digital pathology in machine learning
- AI use cases in pathology
Also, 88361 is one of the few digital pathology-only CPT codes that would add benefit for automated computer quantification of certain immunohistochemistry. The CPT code is well established, and many labs use it currently.
Matthew G. Hanna, MD, Pathologist; Director, Digital Pathology Informatics, Memorial Sloan Kettering Cancer Center
Dr. Hanna is the Director of Digital Pathology Informatics and Assistant Attending of Breast Pathology at Memorial Sloan Kettering Cancer Center. Previously, he served as the Clinical Instructor of Pathology Informatics at the University of Pittsburgh, where he completed his Pathology Informatics fellowship. Dr. Hanna is a current member of the CAP Informatics Committee and served as a junior editor for the Journal of Pathology Informatics. He has strong interests in clinical and pathology informatics, computational pathology, and breast pathology.
John H. Sinard, MD, PhD, Professor and Vice-Chair for Clinical Operations in Pathology Chief, Division of Anatomic Pathology and Medical Director, Pathology Informatics at Yale School of Medicine/Yale-New Haven Hospital
Dr. Sinard is a board-certified anatomic pathologist. He received his bachelor’s degree from Harvard University, his M.D. and Ph.D. degrees from Johns Hopkins, and completed his residency training at Yale-New Haven Hospital. He is currently the Vice Chair of Pathology and Director of Anatomic Pathology for the Yale School of Medicine and is active on the autopsy and surgical pathology services, with a special interest in ophthalmic pathology. Dr. Sinard founded Yale’s Pathology Informatics Program and has been developing software for over 30 years. His academic interests are centered on translational informatics: delivering modern data management tools to practicing physicians and researchers.