Artificial Intelligence in Transplantation
University of Toronto Press (Verlag)
9781487561710 (ISBN)
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By leveraging large datasets and precision medicine, AI enables the development of individualized recommendations tailored to each patient’s unique needs. Transplant medicine experts Dr. Mamatha Bhat and Dr. Aman Sidhu explore key topics such as the use of AI to identify suitable donors, prioritize patients on waitlists more equitably, and support clinical decision-making throughout the transplant process. They also address the ethical challenges and patient perspectives that arise as these technologies become more prevalent.
Each chapter is authored by leading experts, including members of the Transplant AI Initiative at the Ajmera Transplant Program, University Health Network, Toronto. With its blend of cutting-edge research, practical guidance, and ethical insight, Artificial Intelligence in Transplantation is a vital resource for transplant teams, clinicians, and researchers seeking to harness the power of AI to advance patient care and improve transplant outcomes.
Dr. Mamatha Bhat is a hepatologist and clinician-scientist at UHN’s Ajmera Transplant Centre, an associate professor of medicine at the University of Toronto, and a scientist at Toronto General Hospital Research Institute. Dr. Aman Sidhu is the Medical Director of the Toronto Lung Transplant Program at UHN, and an assistant professor in the Department of Medicine at the University of Toronto.
Foreword
Introduction
Chapter One: Introduction to AI Tools in Clinical Medicine
Chapter Two: AI in Liver Transplantation
Chapter Three: Artificial intelligence and Lung Transplantation
Chapter Four: AI in Kidney Transplant
Chapter Five: Artificial Intelligence in Transplant Infectious Diseases
Chapter Six: AI Applied to Qualitative Data and Patient-Reported Outcomes
Chapter Seven: Transforming Transplant Care: A Comprehensive Pipeline for Deploying Machine Learning Models
Chapter Eight: The Ethical Use of AI in Organ Transplantation
Chapter Nine: Machine-Learning-Based integration of Clinical and ‘Omics Data for Fine-Tuned, Personalized Predictions of Outcome
Chapter Ten: The Roles of Artificial Intelligence in Surgical Education in Transplantation
Chapter Eleven: Patient Perspectives
Conclusion
| Erscheint lt. Verlag | 15.9.2026 |
|---|---|
| Verlagsort | Toronto |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 1 g |
| Themenwelt | Medizin / Pharmazie ► Gesundheitswesen |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Chirurgie | |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Medizinethik | |
| Studium ► Querschnittsbereiche ► Geschichte / Ethik der Medizin | |
| ISBN-13 | 9781487561710 / 9781487561710 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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