Rapid advances of big data and artificial intelligence (AI) techniques have pushed the envelope of traditional surgery to intelligent surgery, which revolutionizes the traditional medicine model dominated by the experiences of interveners and evidence-based medicine. Intelligent surgery requires to judiciously integrate the clinical experience of interveners and medical evidences with the new AI techniques, so as to achieve the best therapeutic effect for patients through effective disease risk control. This paper puts forward a new theory of prognostic control surgery in the long-term clinical practice of hepato-pancreato-biliary surgery. Our theory takes the optimal prognosis of patients as the goal, and pre-controls the disease risk through the best combination of the optimal intervener, intervention methods and intervention timing to achieve the maximum clinical benefits of patients with minimal medical trauma. This theory also takes full advantage of information technologies such as neural networks, deep learning, big data and imaging system, and uses high-dimensional network decision making to replace the traditional two-dimensional decision making tree model. A main technical challenge in the theory is how to effectively exploit the AI techniques in to improve the production efficiency of large hospitals, enhance the service level of primary medical care, and improve the diagnosis, prediction, treatment of diseases. Prognostic control surgery advocates the exploitation of emerging information technology methods, such as medical image recognition and prediction, 3D reconstruction based surgical planning, intraoperative navigation, and remote intelligent robotic surgical system, to promote the rapid and balanced surgical diagnosis and treatment. Guided by the theory of prognosis control surgery, our team successfully established minimally invasive anatomic hepatectomy, individualized pancreatic surgical approaches, modular hepatectomy, single-layer continuous suture of pancreaticojejunostomy, and end-to-end pancreatic anastomosis and advocated en-bloc resection of pancreatic cancer. This paper also provides the details of four core surgical strategies proposed in our prognosis control surgery, namely, blood control technique, surgical approach selection, resection technique and reconstruction technique, by which to achieve the minimally invasive surgery regularization and the complex surgery simplification.
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