Application of artificial intelligence-powered pathological diagnosis in facilitating the construction of teaching systems for clinical pathology training
Jiang Xin
Xie Na
Yao Hui
Tang Xuefeng
Abstract：Objective To explore the application value of the AI-assisted pathological diagnosis-4 C instructional model(four-component instructional design)-case-based learning pedagogy,namely the AIpath-4 C/ID-CBL teaching system,in standardized residency training of clinical pathology departments.Methods Using a stratified randomization method,14 resident physicians enrolled in the standardized residency training program in clinical pathology at Chongqing General Hospital from September 2023 to August 2025 were allocated into an observation group(n=7)and a control group(n=7).The observation group received instruction via the AIpath-CBL teaching system,while the control group underwent traditional teaching methods.A total of 150 histopathologically and clinically confirmed cases were selected for teaching evaluation,including 50 cases of Crohn's disease(CD),60 cases of ulcerative colitis(UC),and 40 non-inflammatory bowel disease cases.All original pathological diagnoses were concealed,and both groups of residents were assessed for diagnostic performance based on these cases.Results The observation group demonstrated significantly higher diagnostic accuracy compared with the control group across all case categories.Specifically,the mean number of correctly diagnosed cases for Crohn's disease(CD)was(43.29±2.14)in the observation group versus(27.57±2.37)in the control group.For ulcerative colitis(UC),it was(53.14±1.57)versus(29.86±1.35),and for non-IBD,(32.29±1.80)versus(18.29±1.50).All inter-group differences were statistically significant(all P<0.001).Conclusion The new educational system facilitates the rapid and high-quality training of qualified clinical pathologists and has extensive and profound application prospects.
Keywords：artificial intelligenceteaching system constructioninflammatory bowel diseaseclinical pathologystandardized residency training
Publication Date：2026-02-20
Online Publishing Date：2026-03-09(First online date of this platform, not the publication date of the document)
Pages：6( 126-131 )