Evaluation of the Applicability of an Overseas-Trained Artificial Intelligence System for Mammography Interpretation in Japan
Although no statistically significant difference was observed, AI-aided readings yielded AUCs comparable to AI-unaided readings (95% CI overlap); these findings suggest the feasibility of applying an AI‑CAD trained outside Japan to Japanese cases, while larger prospective screening studies are required to establish clinical impact.
Authors
- Kouzou Murakami (ORCID: https://orcid.org/0000-0002-3484-9278)
- Wakana Murakami (ORCID: https://orcid.org/0000-0002-7956-6052)
- Atsuhito Sekimoto
- Yoshimitsu Ohgiya (ORCID: https://orcid.org/0000-0002-9898-4604)
- Maya Makita
- Hiroko Takamatsu
- Kanai Takahiro
Institutions
- SHOWA Medical University (JP)
- Chiba Hospital (JP)
- SHOWA Medical University Hospital (JP)
Publication Details
- Journal
- Cureus
- Published
- 2026-01-13
- DOI
- https://doi.org/10.7759/cureus.101466
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fujifilm Corporation