Digital Pathology: Implementation in Clinical Practice with AI Applications covers digital pathology applications in a clinical pathology laboratory setting, providing guidance and various tools for practical implementation. This comprehensive and detailed description of nuts and bolts of digital pathology implementation is unique and comes from the experience of high throughput scanning from a large surgical pathology laboratory. This is a valuable reference to prepare the end users not only about thoughtful launch of digital pathology but also to prepare for the future use of AI mediated decision support tools as the field advances. This book covers the entire range of this topic and can be used as a practical reference for individuals that wish to be part of the evolution of diagnostic pathology. Sections include pre-analytic, analytic, and post-analytic processes, encompassing hardware, software, space, staffing, quality control, laboratory information system applications, clinical validation, use cases and future applications, including computer assisted diagnosis and decision support tools.
Table of Contents
1. Basics of Digital Pathology2. 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