Related Experiment Video
Updated: Jun 26, 2025
06:18
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
Published on: April 5, 2024
1.0K
Artificial intelligence in surgery.
Chris Varghese1, Ewen M Harrison2, Greg O'Grady1,3
1Department of Surgery, University of Auckland, Auckland, New Zealand.
Nature Medicine
|May 13, 2024
Summary
Artificial intelligence (AI) is emerging in healthcare, with nascent applications in surgery. This review explores AI's integration to improve surgical care across all phases, enhancing patient outcomes and surgical education.
Area of Science:
- * Medical Technology and Artificial Intelligence
- * Surgical Innovation and Digital Health
Background:
- * Artificial intelligence (AI) is increasingly prevalent in healthcare, but its surgical applications are still developing.
- * Advancements in foundation models, wearables, and data infrastructure are accelerating AI's role in surgery.
Purpose of the Study:
- * To review the current integration and impact of AI in surgical care.
- * To explore AI's potential to enhance preoperative, intraoperative, and postoperative surgical phases.
- * To outline future directions for AI in surgery, including multimodal foundation models.
Main Methods:
- * Comprehensive literature review of AI applications in surgery.
- * Analysis of current deep learning approaches in surgical contexts.
- * Discussion of emerging technologies like foundation models and wearables.
Main Results:
- * AI demonstrates potential for multifaceted improvements in surgical care.
- * AI can enhance patient outcomes, surgical education, and overall care optimization.
- * Foundation models and multimodal AI represent key future advancements.
Conclusions:
- * AI integration in surgery is rapidly advancing, offering significant potential.
- * Future AI developments, particularly multimodal foundation models, promise further optimization of surgical practice and patient care.
