Construction of digital intelligent minimally invasive research‑oriented hepatobiliary and pancreatic surgery discipline

The emergence and evolution of digital intelligent technology has profoundly influenced the development of minimally invasive research‑oriented hepatobiliary and pancreatic surgery discipline. Over various periods, our team has always adhered to the principle of "being oriented by clinical issues and driven by clinical needs", continuously carried out innovative research across interdisciplinary boundaries, propelling the evolution of digital intelligent technology. Spanning over two decades, this journey includes the progression from digital virtual human, three-dimensional visualization, molecular fluorescence imaging, augmented reality and mixed reality, artificial intelligence, to the realm of human visualization meta‑universe. This evolution facilitates the shift from two‑dimensional empirical diagnoses of hepatobiliary and pancreatic surgical diseases to deep learning intelligent diagnostics, the transition from morphology‑based tumor diagnoses to molecular imaging‑based diagnostics, and from conventional empirical surgery to intelligent navigation surgery. The authors provide a comprehensive review of our developmental process and achievements within the realm of digital intelligent diagnostic and therapeutic technologies, with the aims to promote the development and application of digital intelligent medicine.