Cost-utility analysis of real-time artificial intelligent-assisted colonoscopy in Italy

Background. Artificial intelligence (AI)-assisted colonoscopy proved to be effective compared with colonoscopy alone in an average-risk population. Aim. To evaluate the cost-utility of GI GENIUS, the first marketed real-time AI system in an Italian high-risk population. Methods. A 1-year cycle cohort Markov model was developed to simulate the disease evolution of a cohort of Italian individuals positive to fecal immunochemical test, aged 50 years, undergoing colonoscopy with or without the AI system. Adenoma or colorectal cancer (CRC) were identified according to detection rates specific for each technique. Costs were estimated from the Italian National Health Service perspective. Results. Colonoscopy+AI system was dominant with respect to standard colonoscopy. The GI GENIUS system prevented 155 CRC cases (-2.7%), 77 CRC-related deaths (-2.8%), and improved quality of life (+0.027QALY) with respect to colonoscopy alone. The increase in screening cost (+€10.50) and care for adenoma (+€3.53) was offset by the savings in cost of care for CRC (-€28.37) leading to a total savings of €14.34 per patient. Probabilistic sensitivity analysis confirmed the cost-efficacy of the AI system (almost 80% probability). Conclusions. The implementation of AI detection tools in colonoscopy after FIT+ seems to be a cost-saving strategy for preventing CRC incidence and mortality.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Cost-utility analysis of real-time artificial intelligent-assisted colonoscopy in Italy ; day:24 ; month:07 ; year:2023 ; Endoscopy International Open ; (24.07.2023)

Contributors, Places and Time

• Contributor: Hassan, Cesare ; Povero, Massimiliano ; Pradelli, Lorenzo ; Spadaccini, Marco ; Repici, Alessandro

Further information

• DOI: 10.1055/a-2136-3428
• URN: urn:nbn:de:101:1-2023090710380713682699
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:46 AM CEST