Artificial Intelligence in Pathology: Principles and Applications

— —

Stanley Cohen, MD (PhD, MD) Chhavi Chauhan, Ph.D., E.L.S. (Director of Scientific Outreach, Director of JMD Continuing Medical Education (CME) Program, American Society for Investigative Pathology, Rockville, MD, USA)

Artificial Intelligence in Pathology

Principles and Applications

Stanley Cohen, MD (PhD, MD), Chhavi Chauhan, Ph.D., E.L.S. (Director of Scientific Outreach, Director of JMD Continuing Medical Education (CME) Program, American Society for Investigative Pathology, Rockville, MD, USA)

$290.95

Paperback

Forthcoming
Pre-Order now

QTY:

English

Elsevier - Health Sciences Division
25 November 2024

Pathology; Life sciences: general issues; Artificial intelligence

Artificial Intelligence in Pathology: Principles and Applications provides a strong foundation of core artificial intelligence principles and their applications in the field of digital pathology. This is a reference of current and emerging use of AI in digital pathology as well as the emerging utility of quantum artificial intelligence and neuromorphic computing in digital pathology. It is a must-have educational resource for lay public, researchers, academicians, practitioners, policymakers, key administrators, and vendors to stay current with the shifting landscapes within the emerging field of digital pathology. It is also of use to workers in other diagnostic imaging areas such as radiology.

This resource covers various aspects of the use of AI in pathology, including but not limited to the basic principles, advanced applications, challenges in the development, deployment, adoption, and scalability of AI-based models in pathology, the innumerous benefits of applying and integrating AI in the practice of pathology, ethical considerations for the safe adoption and deployment of AI in pathology.

Edited by: Stanley Cohen MD (PhD MD), Chhavi Chauhan, Ph.D., E.L.S. (Director of Scientific Outreach, Director of JMD Continuing Medical Education (CME) Program, American Society for Investigative Pathology, Rockville, MD, USA)
Imprint: Elsevier - Health Sciences Division
Country of Publication: United States
Edition: 2nd edition
Dimensions: Height: 235mm, Width: 191mm,
ISBN: 9780323953597
ISBN 10: 032395359X
Pages: 500
Publication Date: 25 November 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Forthcoming

PART I PRINCIPLES 1. The evolution of machine learning 2. Basics of machine learning strategies 3. Overview of advanced neural network architectures 4. Complexity in the use of AI in anatomic pathology 5. Quantum Artificial Intelligence: Things to come 6. Dealing with data: strategies for pre-processing 7. Easing the Burden of Annotation in pathology 8. Digital path as a platform for primary diagnosis and augmentation via a deep learning 9. Challenges in the Development, Deployment, and Regulation of AI in Anatomic Pathology 10. Ethics of AI in Pathology: Current Paradigms and Emerging Issues PART II APPLICATIONS 11. Image enhancement via AI 12. Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images 13. Precision medicine in digital pathology 14. Generative Deep Learning in Digital Pathology Workflows 15. Predictive image-based grading of human cancer 16. The interplay between tumor and immunity 17. Machine-based evaluation intra-tumoral heterogeneity and tumor-stromal interface PART III OVERVIEW 18. The computer as digital pathology assistant 19. Neuromorphic computing, general AI, and the future of pathology

Dr. Cohen is currently interested in integrating computational imaging with digital workflows. He previously served as President of the American Society for Investigative Pathology (ASIP) and Treasurer and Member of the Executive Board of FASEB. Science-related activities also include chairmanships of study sections for the NIH and DOD and membership on multiple editorial boards. He is currently the Associate Editor for digital and computational pathology and artificial intelligence topic category for the American Journal of Pathology. He is a Senior Fellow of the Association of Pathology Chairs and Co-Chair of the ASIP Special Interest Group on Digital and Computational Pathology. Awards include the Gold-Headed Cane (ASIP) and the Golden Goose Award (AAAS). He is a member of the Digital Pathology Association (DPA), the Board of the International Academy of Digital Pathology (IADP), and Chair of the External Advisory Board of the Alpert Foundation. Dr. Chhavi Chauhan works as Director for Scientific Outreach at the American Society for Investigative Pathology and Director of the Continuing Medical Education (CME) Program at the Journal of Molecular Diagnostics. She is one of the leaders of the Women in AI Ethics Collective and an expert at the AI Policy Exchange.? She is a biomedical researcher, expert scholarly communicator, and a sought-after mentor in the fields of scientific research, scholarly publishing, and AI Ethics, especially for women and minorities. She was honored to be featured in The AI Makers 150: top 150 AI &Analytics Leaders & Influencers 2021 list. She is a thought leader, a renowned international speaker, and a strong advocate for equitable and accessible healthcare.? She sits at the intersection of scientific research, scholarly communications, and AI Ethics in Healthcare.?? Her vision is to provide equitable personalized healthcare to all, beyond geographies, and despite socioeconomic barriers.