Perils and Pearls of Implementing Digital Imaging and Artificial Intelligence Methods for Clinical diagnostics: A Future Roadmap

Recorded On: 10/15/2020

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Automated whole slide imaging (WSI) scanners are now rendering diagnostic quality, high-resolution images of entire glass slides and combining these images with innovative digital pathology tools that are making it possible to integrate imaging into all aspects of pathology reporting including anatomical, clinical and molecular pathology. The recent approval of a WSI scanner for primary diagnosis by FDA in April 2017 and second one in 2019 has paved the way for the first time in the United States for starting to incorporate this exciting technology for use in primary diagnosis. This is an especially exciting time in anatomic pathology, as WSI systems are rapidly becoming an integral component of the pathology practice, and certainly will serve as a platform for innovations and advances in anatomical and clinical pathology in the future. This course will provide the attendees an ability to interact with experts in digital pathology to provide practical insights into the use of WSI for primary diagnosis. A framework of knowledge will be provided by an extended and interactive Q&A session which will serve to demystify the use of WSI for clinical applications, implementation challenges and pearls. This workshop will provide their perspectives on the barriers and challenges of using WSI for primary diagnosis as well as how pathology is poised to take on disruptive technologies such as deep learning and AI. The discussion will also cover the current challenges and what the short term and long term benefits that will be for pathology labs, particularly in the community practice setting if and when they embrace this technology.

CEUs: This histology course is worth 1 continuing education credit. Course is available for 365 days from date of purchase. 

Anil Parwani, MD, PHD, MBA

Distinguished Professor And The Donald A. Senhauser Chair

Dr. Anil Parwani is a Professor of Pathology and Biomedical Informatics at The Ohio State University. He serves as the Donald A. Senhauser Chair of the Department of Pathology and the Chief of Pathology Services for the Health System. His research is focused on diagnostic and prognostic markers in bladder, prostate, and renal cell carcinoma. Dr. Parwani has expertise in surgical pathology, and pathology informatics including biobanking, whole slide imaging, digital imaging, telepathology, image analysis, artificial intelligence, and lab automation. Dr Parwani has authored over four hundred peer-reviewed articles in major scientific journals and several books and book chapters. Dr. Parwani is the Editor-in-chief of Diagnostic Pathology and Co-editor of the Journal of Pathology Informatics

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Perils and Pearls of Implementing Digital Imaging and Artificial Intelligence Methods for Clinical diagnostics: A Future Roadmap
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Open to view video. Objectives: Provide a pathologist perspective of the current state of Whole Slide Imaging for clinical diagnostics including primary diagnosis; Provide an understanding of the current state and future directions of digital pathology at The Ohio State University: Lessons learnt and next steps; Explore the future directions of pathology’s role in advanced diagnostics including use of image analysis and artificial intelligence
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1.00 CEUs credit  |  Certificate available
1.00 CEUs credit  |  Certificate available