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[Research progress and prospects of artificial intelligence in diagnosis and treatment of colorectal cancer].
Wei, W; He, K S; Hu, Z Y; Liu, Z Y; Tang, J Q; Tian, J.
Afiliación
  • Wei W; School of Electronics and Information, Xi'an Polytechnic University, Xi'an 710048, China CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • He KS; CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Hu ZY; School of Electronics and Information, Xi'an Polytechnic University, Xi'an 710048, China.
  • Liu ZY; CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Tang JQ; Department of Colorectal Surgery National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College/Cancer Hospital, Chinese Academy of Medical Sciences, Beijing 100021, China.
  • Tian J; CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing 100191,
Zhonghua Wei Chang Wai Ke Za Zhi ; 27(1): 15-23, 2024 Jan 25.
Article en Zh | MEDLINE | ID: mdl-38262896
ABSTRACT
Colorectal cancer is one of the most common malignant tumors worldwide. Due to the heterogeneity in patient outcomes and treatment responses to standard therapy regimens, personalized diagnostic and therapeutic strategies have remained a focus of sustained interest in research. In recent years, with the rapid progression of artificial intelligence (AI) technology in the medical field, an abundance of phased research results has emerged in the decision-making for preoperative, intraoperative, and postoperative diagnostic and therapeutic plans for colorectal cancer, demonstrating great potential for application. This new and efficient solution provides for the personalized evaluations and auxiliary diagnoses and treatments of patients with colorectal cancer. In the future, AI systems may continue to advance towards multimodal, multi-omics, and real-time directions. This paper aims to explore the current state of research on the multi-faceted auxiliary applications of AI in the diagnosis and treatment of colorectal cancer, as well as to present a prospective view of the innovations that AI technology could bring to personalized colorectal cancer treatment in the future and the challenges it may face.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Colorrectales Tipo de estudio: Diagnostic_studies / Observational_studies Límite: Humans Idioma: Zh Revista: Zhonghua Wei Chang Wai Ke Za Zhi Asunto de la revista: GASTROENTEROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias Colorrectales Tipo de estudio: Diagnostic_studies / Observational_studies Límite: Humans Idioma: Zh Revista: Zhonghua Wei Chang Wai Ke Za Zhi Asunto de la revista: GASTROENTEROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: China