Copyright: ©Author(s) 2026.
World J Gastrointest Endosc. Apr 16, 2026; 18(4): 117976
Published online Apr 16, 2026. doi: 10.4253/wjge.v18.i4.117976
Published online Apr 16, 2026. doi: 10.4253/wjge.v18.i4.117976
Figure 3 Health economic framework for artificial intelligence-enhanced endoscopic ultrasound workflow.
This flowchart outlines the procedural integration of artificial intelligence in endoscopic ultrasound, accompanied by a structured health economic framework. it details direct costs (e.g., maintenance, cloud services) and indirect costs (e.g., staff training), while highlighting potential savings from reduced repeat procedures, improved diagnostic yield, shortened learning curves, and lower medicolegal risks. This framework supports the cost-benefit analysis essential for the adoption of artificial intelligence in clinical settings. AI: Artificial intelligence.
- Citation: Chen ZY, Wang YQ, Tan XZ, Liu P, Peng Y. Artificial intelligence in endoscopic ultrasound: Clinical translation of a prediction, navigation, and diagnosis framework. World J Gastrointest Endosc 2026; 18(4): 117976
- URL: https://www.wjgnet.com/1948-5190/full/v18/i4/117976.htm
- DOI: https://dx.doi.org/10.4253/wjge.v18.i4.117976