Preliminary exploration and thinking on artificial intelligence in accelerated rehabilitation management after colorectal cancer surgery
Main article
Abstract
Colorectal cancer is one of the most common malignant tumors in the world, and accelerated recovery after surgery is crucial to the patient's prognosis and quality of life. The traditional accelerated recovery surgical pathway is effective, but it lacks the ability to meet the individual needs of patients and cannot fully adapt to the unique situation of each patient. With the development of artificial intelligence technology, AI has significantly improved the accuracy and efficiency of ERAS work through personalized data analysis and intelligent monitoring. In preoperative evaluation, intraoperative management, and postoperative rehabilitation monitoring, AI can predict the risk of postoperative complications, optimize the rehabilitation pathway, provide accurate treatment plans, and improve patients' diagnosis and treatment experience and prognosis. However, AI still faces problems such as data privacy, algorithm transparency, and limited promotion in its application. These challenges need to be further addressed to comprehensively improve the level of medical services and the quality of patient rehabilitation.
