Enhanced assessment of blood supply during colorectal surgery

Integrating biophysical modeling and machine learning significantly improves intraoperative assessment of intestinal perfusion in laparoscopic low anterior rectal resection. An analysis of 68 patients demonstrated that the automated model outperformed traditional scoring methods, achieving a root mean square error of 2.47 and a mean absolute error of 1.99. This innovative approach offers a quantitative framework, enhancing surgical evaluation, and fostering more informed intraoperative decision-making in colorectal procedures.