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Semantic Web-Based AI System for Neuroimmune-Gastrointestinal Medical Image Processing

Author

Listed:
  • Xueyu Guan

    (Second Medical Department, Cancer Research Center of Chifeng City, Chifeng Cancer Hospital (The Second Affiliated Hospital of Chifeng University), Chifeng University, Chifeng, China)

  • Lizhong Guo

    (Second Medical Department, Cancer Research Center of Chifeng City, Chifeng Cancer Hospital (The Second Affiliated Hospital of Chifeng University), Chifeng University, Chifeng, China & Department of Medicine, Ninth Clinical Medical College, Peking University, Peking, China)

  • Xuewen Qin

    (Second Medical Department, Cancer Research Center of Chifeng City, Chifeng Cancer Hospital (The Second Affiliated Hospital of Chifeng University), Chifeng University, Chifeng, China)

  • Javier Santos

    (Digestive System Research Unit, Laboratory of Neuro-Immuno-Gastroenterology, Vall d Hebron Institute de Recerca (VHIR), Vall Hebron Hospital Universitari, Barcelona, Spain & Department of Gastroenterology Vall d'Hebron Hospital Universitari, Barcelona, Spain & Centro de Investigación Biomédica en Red de Enfermedades Hepáticasy Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain)

  • Ana María González

    (Digestive System Research Unit, Laboratory of Neuro-Immuno-Gastroenterology, Vall d Hebron Institute de Recerca (VHIR), Vall Hebron Hospital Universitari, Barcelona, Spain)

  • Yi Qin

    (Second Medical Department, Cancer Research Center of Chifeng City, Chifeng Cancer Hospital (The Second Affiliated Hospital of Chifeng University), Chifeng University, Chifeng, China & Facultad de Medicina, Universidat Autonoma de Barcelona, Bellaterra, Spain)

Abstract

At present, the medical field requires the development of clinical diagnostic and therapeutic robots. The research team successfully transformed the biophysical structures of mitochondria and lipid particles from 2D to 3D. Based on cloud point registration algorithm and SVM, LSSVM, and Bayesian algorithms, the predicted cloud point was added to the cloud point volume to increase the cloud point data capacity and combined with psychological analysis of 3D cloud point structure hierarchical clustering. The K-SVD algorithm is used to deconvolve pathological data to reduce color interference on visual transformers, fit 3D data of midbrain pathways, and finally fuse 2D data converted from pathological data, mandala data, and immune factor data with brain computer interface data for classification prediction, improving the robustness of artificial intelligence diagnostic algorithms. This information fusion robot can accurately diagnose the comprehensive condition of patients and contribute to medical assisted diagnosis.

Suggested Citation

  • Xueyu Guan & Lizhong Guo & Xuewen Qin & Javier Santos & Ana María González & Yi Qin, 2025. "Semantic Web-Based AI System for Neuroimmune-Gastrointestinal Medical Image Processing," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 21(1), pages 1-36, January.
    • Handle: RePEc:igg:jswis0:v:21:y:2025:i:1:p:1-36
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