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Real-World Evaluation of an AI-Assisted Diagnostic Support System for Early Gastric Cancer: Diagnostic Performance, Confidence Stratification, and Determinants of False-Positive Diagnosis.

1/5 보강
Journal of clinical medicine 📖 저널 OA 100% 2021: 34/34 OA 2022: 61/61 OA 2023: 78/78 OA 2024: 135/135 OA 2025: 265/265 OA 2026: 192/192 OA 2021~2026 2026 Vol.15(7)
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
47 patients with 89 localized gastric lesions evaluated between March 2024 and March 2025.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
: In real-world clinical practice, a commercially available AI system provides high sensitivity for early gastric cancer detection. Incorporating confidence stratification and regional reproducibility into clinical decision-making may enhance the effective use of AI-assisted endoscopic diagnosis beyond binary interpretations.

Osawa S, Yamada T, Inui W, Niwa T, Takahashi K, Egami T


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