Digital Pathology. Implementation in Clinical Practice with AI applications

Table of Contents

1. Basics of Digital Pathology
2. The 5 S's for Success (Sponsorship, Staffing, Storage, Space, Scanners)
3. Pre-analytics
4. Analytic and post-analytic factors
5. Use cases in Anatomic Pathology
6. Use Cases in Clinical Pathology
7. The Pathologist's Portal: optimal integration of digital data
8. Regulatory aspects of digital pathology
9. The basics of Machine Learning and AI
10. Machine Learning and AI applications
11. Integration of Diagnostic Imaging in Radiology and Pathology

Authors

Meera Hameed Memorial Sloan Kettering Cancer Center, USA. Dr. Hameed is the Chief of Surgical Pathology overseeing a large surgical pathology laboratory with over 80,000 cases and generating over a million slides per year. In the last several years her division has undertaken the task of digitizing slides (retrospective and prospective) using multiple platforms with a vision is to incorporate the use of digital information and digital information systems into all aspects of Pathology. She is also the Co-Director for the Warren Alpert Center for Digital and Computational Pathology at her institution. Through the Center an infrastructure has been established for deep learning which includes a high-performance computing cluster with a solid foundation to foster collaborations among experimental and diagnostic pathologists, computer and imaging scientists and experts in deep learning and artificial intelligence. Matthew G Hanna Memorial Sloan Kettering Cancer Center, USA. Dr. Hanna is the Director of Digital Pathology Informatics at Memorial Sloan Kettering Cancer Center. He leads the digital transformation of the pathology department as it related to clinical implementation and translation of digital pathology. Dr Hanna speaks regularly at international and domestic conferences on the successful deployment of digital pathology at his institution. The large pathology department has demonstrated a high volume of prospective clinical scanning, and retrospective archival digitization of over 5 million slides to date. Dr Hanna has also collaborated with computational pathology researchers to develop and integrate clinical decision support tools in the Department. Through the early adopter status and developed infrastructure at the institution, practical implementation steps and lessons learned can be used as a blueprint for other institutions to enable success