
Applied AI in Transplant Surgery
This advanced-level course equips medical professionals and researchers with the knowledge and practical skills to integrate artificial intelligence (AI) into transplant surgery. The curriculum covers AI applications across organ matching, preoperative assessment, surgical navigation, postoperative care, organ preservation, genomics, and more. It aims to improve patient outcomes, optimize workflows, and advance transplant medicine through innovative AI-driven solutions.
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Course Duration:
30 hours
Level:
Advanced

Course Objectives
Understand the role of AI in healthcare and transplant surgery.
Explore AI tools for organ matching, preoperative planning, and surgical navigation.
Analyze the use of AI in postoperative monitoring, organ preservation, and transportation.
Evaluate the potential of AI in genomics, personalized medicine, and xenotransplantation.
Address ethical, legal, and regulatory challenges associated with AI in transplant medicine.
Develop an AI-driven solution for a specific transplant-related challenge through a capstone project.
Prerequisites
Background in medicine, surgery, biomedical research, or data science.
Familiarity with basic AI concepts and medical datasets (preferred).
Interest in applying technology to improve transplant outcomes.
