Applied AI in Cardiothoracic Surgery
This advanced program is designed to empower cardiothoracic surgeons, researchers, and healthcare professionals to integrate AI technologies into surgical planning, diagnostics, intraoperative processes, and postoperative care. The course provides hands-on experience with AI tools, addresses ethical and regulatory considerations, and explores cutting-edge innovations to improve patient outcomes and operational efficiency in cardiothoracic surgery.
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Course Duration:
36 hours
Level:
Advanced
Course Objectives
Understand the fundamentals of AI, machine learning, and deep learning in healthcare.
Explore AI applications in preoperative planning, intraoperative technologies, and postoperative care.
Analyse case studies showcasing AI-driven advancements in cardiothoracic surgery.
Develop skills to use AI tools for diagnostics, surgical planning, and outcomes monitoring.
Address challenges in AI implementation, including biases, ethical concerns, and workflow integration.
Prerequisites
Background in cardiothoracic surgery, biomedical engineering, or healthcare-related fields.
Basic understanding of medical imaging and surgical workflows.
Familiarity with fundamental concepts of AI and data analytics is recommended.
