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Artificial intelligence (AI)-based multi-organ contour quality assurance with uncertainty estimation for online adaptive radiotherapy (oART).

2/5 보강
Machine learning. Health 2026 Vol.2(1) p. 015001 OA Advanced Radiotherapy Techniques
Retraction 확인
출처
PubMed DOI PMC OpenAlex 마지막 보강 2026-04-28

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
249 cases for training, 31 for validation, and another 31 cases were saved for testing.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
The proposed AI-based framework holds the potential to automate contour QA with quantified uncertainty. It is well-suited for oART with heavy time constraints given its high accuracy, efficiency, and reliability.
OpenAlex 토픽 · Advanced Radiotherapy Techniques Prostate Cancer Diagnosis and Treatment Radiomics and Machine Learning in Medical Imaging

Yan S, Xie J, Chen N, Nguyen D, Su FC, Yang D

📖 무료 전문 🟢 PMC 전문 PMC12813885 🔓 OA PDF oa
PubMed ↗ DOI ↗ BibTeX ↓ RIS ↓

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