Researchers demonstrate a methodology using non-expert crowdsourcing to obtain high-quality surgical tissue annotations for training AI models in real-time colorectal surgery assistance. This approach saved hundreds of expert hours and produced a model, Bowel.CSS, accurate in segmenting surgical tissues.