Dr. Kaplan is a native of Chicago and a graduate of Michigan State University and Northwestern University Feinberg School of Medicine. He completed residency training in anatomic and clinical pathology at Walter Reed Army Medical Center, Washington, DC. While at Walter Reed, Dr. Kaplan was named Resident of the Year, and in conjunction with the Armed Forces Institute of Pathology, Dr. Kaplan founded and directed the Army Telepathology Program. This Program connected 25 hospitals internationally for consultation via telepathology. Dr. Kaplan was also with Mayo Clinic, Rochester, Minnesota as an Associate Professor of Pathology of Mayo Medical School. Since then he has served as CMO for Corista and is an active member of the College of American Pathologists and executive board member of the American Pathology Foundation. Since 2007, Dr. Kaplan has been publisher of The Digital Pathology Blog at tissuepathology.com, the industry’s leading pathology blog.
Title: “Artificial Intelligence: What it Means for Healthcare and Pathology”
Recent advances in artificial intelligence (AI) show great promise in several fields of medicine. The field of deep learning is enabling the development of expert-level automated algorithms.
There are 2 aspects of the value in in using AI. First is the practical aspect. Use of AI can speed the diagnostic process, ensuring diagnostic assessments are more reproducible. This helps physician productivity by automating some of the decision-making process.
The deeper aspect of AI’s impact is in its ability to analyze the data found. AI algorithms will begin to find patterns a human wouldn’t necessarily see, extending what physicians can do today. The advances could address the impact treatment of the disease has on outcomes.
AI is simply a tool – not a replacement for a pathologist. Deep learning can be applied to numerous diagnostic tasks and defines a new era in digital pathology. This session will focus on advancements in AI in surgical pathology and what the use of this technology means for the future of the practice of pathology.
Objectives for this session:
- Understand basic definitions with AI and deep learning.
- Review applications and use cases to date within medicine and pathology
- Discuss implications of AI for practice of pathology
- Highlight potential opportunities and weaknesses for AI within pathology