This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.

This paper aims to discuss the application value and progress of artificial intelligence (AI) in the diagnosis and treatment of gastrointestinal tumors and teaching practice of gastrointestinal oncology. Through a comprehensive analysis of the current clinical research status and literature, this paper summarizes the application practice and exploratory thinking of AI and deep learning technologies in gastrointestinal oncology. In diagnosis, AI technologies have improved the early detection and diagnosis efficiency for gastrointestinal tumors by optimizing medical image analysis, especially in the recognition of liver metastases. Applications of AI in pathological diagnosis include automatic recognition of tumor cells and tissue structure, as well as improving diagnostic sensitivity and specificity through feature extraction and pattern recognition. In treatment, the application scenarios of AI include rapid diagnosis, accurate staging, personalized treatment plan formulation, drug development, and surgical assistance. In surgical assistance, AI technology improves the safety and effectiveness of surgery through preoperative evaluation, surgical navigation, and postoperative evaluation. In teaching, AI technology facilitates knowledge acquisition and clinical skill enhancement of medical students by providing a multidisciplinary learning platform, simulating clinical environment and case details, and establishing a remote learning platform. The application of AI technology in teaching also includes deep learning and assessment feedback, providing personalized teaching and real-time assessment for students. This paper discusses the application prospects for AI technology in the teaching practice of gastrointestinal oncology. Although AI technology shows great potential in the diagnosis and treatment of gastrointestinal tumors and teaching gastrointestinal oncology, it also has limitations and needs to be combined with traditional teaching methods to achieve the best teaching results.

Zhejiang University School of Medicine's affiliated Sir Run Run Shaw Hospital has responded to innovative rehabilitation healthcare policy by implementing enhanced recovery after surgery(ERAS)wards based on healing concepts during the development of new wards in its multi-campus integration.By integrating 5G communication technology with the hospital's various information systems and leveraging the hospital's locational advantages,the hospital has upgraded its software and hardware configurations,promoting a multidisciplinary collaborative bedside management model in the context of new technologies.In terms of overall environment construction,the hospital uses best healing theories in physical design,organizational conditions,and interpersonal relationships to facilitate and support patients'healing experiences,effectively improving medical and nursing services.

Zhejiang University School of Medicine's affiliated Sir Run Run Shaw Hospital has responded to innovative rehabilitation healthcare policy by implementing enhanced recovery after surgery(ERAS)wards based on healing concepts during the development of new wards in its multi-campus integration.By integrating 5G communication technology with the hospital's various information systems and leveraging the hospital's locational advantages,the hospital has upgraded its software and hardware configurations,promoting a multidisciplinary collaborative bedside management model in the context of new technologies.In terms of overall environment construction,the hospital uses best healing theories in physical design,organizational conditions,and interpersonal relationships to facilitate and support patients'healing experiences,effectively improving medical and nursing services.

Zhejiang University School of Medicine's affiliated Sir Run Run Shaw Hospital has responded to innovative rehabilitation healthcare policy by implementing enhanced recovery after surgery(ERAS)wards based on healing concepts during the development of new wards in its multi-campus integration.By integrating 5G communication technology with the hospital's various information systems and leveraging the hospital's locational advantages,the hospital has upgraded its software and hardware configurations,promoting a multidisciplinary collaborative bedside management model in the context of new technologies.In terms of overall environment construction,the hospital uses best healing theories in physical design,organizational conditions,and interpersonal relationships to facilitate and support patients'healing experiences,effectively improving medical and nursing services.

Zhejiang University School of Medicine's affiliated Sir Run Run Shaw Hospital has responded to innovative rehabilitation healthcare policy by implementing enhanced recovery after surgery(ERAS)wards based on healing concepts during the development of new wards in its multi-campus integration.By integrating 5G communication technology with the hospital's various information systems and leveraging the hospital's locational advantages,the hospital has upgraded its software and hardware configurations,promoting a multidisciplinary collaborative bedside management model in the context of new technologies.In terms of overall environment construction,the hospital uses best healing theories in physical design,organizational conditions,and interpersonal relationships to facilitate and support patients'healing experiences,effectively improving medical and nursing services.

Zhejiang University School of Medicine's affiliated Sir Run Run Shaw Hospital has responded to innovative rehabilitation healthcare policy by implementing enhanced recovery after surgery(ERAS)wards based on healing concepts during the development of new wards in its multi-campus integration.By integrating 5G communication technology with the hospital's various information systems and leveraging the hospital's locational advantages,the hospital has upgraded its software and hardware configurations,promoting a multidisciplinary collaborative bedside management model in the context of new technologies.In terms of overall environment construction,the hospital uses best healing theories in physical design,organizational conditions,and interpersonal relationships to facilitate and support patients'healing experiences,effectively improving medical and nursing services.

Zhejiang University School of Medicine's affiliated Sir Run Run Shaw Hospital has responded to innovative rehabilitation healthcare policy by implementing enhanced recovery after surgery(ERAS)wards based on healing concepts during the development of new wards in its multi-campus integration.By integrating 5G communication technology with the hospital's various information systems and leveraging the hospital's locational advantages,the hospital has upgraded its software and hardware configurations,promoting a multidisciplinary collaborative bedside management model in the context of new technologies.In terms of overall environment construction,the hospital uses best healing theories in physical design,organizational conditions,and interpersonal relationships to facilitate and support patients'healing experiences,effectively improving medical and nursing services.

Zhejiang University School of Medicine's affiliated Sir Run Run Shaw Hospital has responded to innovative rehabilitation healthcare policy by implementing enhanced recovery after surgery(ERAS)wards based on healing concepts during the development of new wards in its multi-campus integration.By integrating 5G communication technology with the hospital's various information systems and leveraging the hospital's locational advantages,the hospital has upgraded its software and hardware configurations,promoting a multidisciplinary collaborative bedside management model in the context of new technologies.In terms of overall environment construction,the hospital uses best healing theories in physical design,organizational conditions,and interpersonal relationships to facilitate and support patients'healing experiences,effectively improving medical and nursing services.

Zhejiang University School of Medicine's affiliated Sir Run Run Shaw Hospital has responded to innovative rehabilitation healthcare policy by implementing enhanced recovery after surgery(ERAS)wards based on healing concepts during the development of new wards in its multi-campus integration.By integrating 5G communication technology with the hospital's various information systems and leveraging the hospital's locational advantages,the hospital has upgraded its software and hardware configurations,promoting a multidisciplinary collaborative bedside management model in the context of new technologies.In terms of overall environment construction,the hospital uses best healing theories in physical design,organizational conditions,and interpersonal relationships to facilitate and support patients'healing experiences,effectively improving medical and nursing services.