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Response to the letter to the editor regarding "clinical efficacy of AI in lung SABR planning: A comparative retrospective analysis".

사설/논평 1/5 보강
Medical dosimetry : official journal of the American Association of Medical Dosimetrists 📖 저널 OA 0% 2025: 0/2 OA 2026: 0/19 OA 2025~2026 2026 Vol.51(1) p. 9-10
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출처

Unicomb K, Cross S, White S, Vantilburg K, Low G, Yeghiaian-Alvandi R

📝 환자 설명용 한 줄

We thank the correspondent for their feedback on our pilot study of AI in lung SABR planning.

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↓ .bib ↓ .ris
APA Unicomb K, Cross S, et al. (2026). Response to the letter to the editor regarding "clinical efficacy of AI in lung SABR planning: A comparative retrospective analysis".. Medical dosimetry : official journal of the American Association of Medical Dosimetrists, 51(1), 9-10. https://doi.org/10.1016/j.meddos.2025.09.003
MLA Unicomb K, et al.. "Response to the letter to the editor regarding "clinical efficacy of AI in lung SABR planning: A comparative retrospective analysis".." Medical dosimetry : official journal of the American Association of Medical Dosimetrists, vol. 51, no. 1, 2026, pp. 9-10.
PMID 41073173 ↗

Abstract

We thank the correspondent for their feedback on our pilot study of AI in lung SABR planning. Our focus was on feasibility and clinical acceptability within routine practice, using a small sample and clinical metrics rather than emphasizing statistical significance. The paired design and blinded review controlled for variability and maintained consistency. We acknowledge limitations and welcome further research on workflow, dosimetry, and AI explainability to advance clinical integration.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

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🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반