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Artificial Intelligence for Colorectal Surgeons - Part II: Research Applications, Challenges in Adoption and
Ankit Sarin1, Chris Seffren1, Hussam Shwaib2
1Department of Surgery, University of California Davis Health.
Diseases of the Colon and Rectum
|May 12, 2026
Summary
Artificial intelligence (AI) can enhance colorectal surgery research by streamlining trials and analyzing data. However, widespread adoption requires overcoming technical, regulatory, and ethical hurdles for AI implementation in surgery.
Area of Science:
- Artificial intelligence in medicine
- Surgical research methodology
- Colorectal surgery applications
Background:
- Part II of a series on AI in colorectal surgery, focusing on implementation.
- Addresses research methodologies, resources, and adoption challenges.
- Builds upon foundational concepts from Part I.
Purpose of the Study:
- Examine AI's role in transforming surgical research.
- Provide resources for AI implementation in colorectal surgery.
- Address challenges and explore future directions for AI in surgery.
Main Methods:
- Comprehensive literature review.
- Focus on AI research methodology, implementation barriers, and emerging technologies.
- Relevant to colorectal surgeons and researchers.
Main Results:
- AI streamlines clinical trials via predictive modeling and NLP.
- Machine learning aids heterogeneity analysis; foundation models analyze EHR data.
- Challenges include infrastructure, regulation, liability, bias, and cost; future directions involve multimodal AI and robotics.
Conclusions:
- AI holds transformative potential for colorectal surgery research.
- Implementation requires addressing technical, regulatory, ethical, and economic challenges.
- Surgeons need computational fluency; future advances will reshape practice.
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