Artificial intelligence for acute appendicitis diagnosis: A systematic review of current evidence, challenges, and future directions

AI demonstrates substantial potential to enhance diagnostic workflows for suspected appendicitis, particularly for identifying complicated cases and minimizing unnecessary imaging or surgery. Future research should emphasize multicenter prospective validation, standardized data annotation, explainable AI methods, and seamless integration into electronic health records and picture archiving systems.

Authors

Publication Details

Journal
Medicine
Published
2026-03-20
DOI
https://doi.org/10.1097/md.0000000000048094
Primary Topic
Appendicitis Diagnosis and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence for acute appendicitis diagnosis: A systematic review of current evidence, challenges, and future directions

Kanan Ismayilzada
Medicine
Appendicitis Diagnosis and Management
article

Artificial intelligence for acute appendicitis diagnosis: A systematic review of current evidence, challenges, and future directions

Kanan Ismayilzada
article en

Abstract

AI demonstrates substantial potential to enhance diagnostic workflows for suspected appendicitis, particularly for identifying complicated cases and minimizing unnecessary imaging or surgery. Future research should emphasize multicenter prospective validation, standardized data annotation, explainable AI methods, and seamless integration into electronic health records and picture archiving systems.

MedicineVol. 105(12)
Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Appendicitis Diagnosis and Management
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Artificial intelligence for acute appendicitis diagnosis: A systematic review of current evidence, challenges, and future directions — Kanan Ismayilzada · Medicine (2026) | TGRS Research Map | TGRS