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Technology for Detecting Keratinocyte Carcinoma From Mohs Micrographic Surgery Fresh Frozen Sections: A Systematic Review of the Literature.

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The Australasian journal of dermatology 📖 저널 OA 7.5% 2021: 0/4 OA 2022: 0/1 OA 2023: 1/4 OA 2024: 0/2 OA 2025: 0/2 OA 2026: 1/8 OA 2021~2026 2026 Vol.67(1) p. 35-44
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Zhao C, Lee S

ℹ️ 이 논문은 무료 전문이 아직 없습니다. 코퍼스 전체의 44.0%는 무료 가능 (통계 →) · 🏥 기관 EZproxy로 시도

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We reviewed the role of technologies, including artificial intelligence (AI), confocal microscopy (CM), optical coherence tomography (OCT), and Raman micro-spectroscopy (RMS) to assist in detecting ke

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↓ .bib ↓ .ris
APA Zhao C, Lee S (2026). Technology for Detecting Keratinocyte Carcinoma From Mohs Micrographic Surgery Fresh Frozen Sections: A Systematic Review of the Literature.. The Australasian journal of dermatology, 67(1), 35-44. https://doi.org/10.1111/ajd.70020
MLA Zhao C, et al.. "Technology for Detecting Keratinocyte Carcinoma From Mohs Micrographic Surgery Fresh Frozen Sections: A Systematic Review of the Literature.." The Australasian journal of dermatology, vol. 67, no. 1, 2026, pp. 35-44.
PMID 41388633 ↗
DOI 10.1111/ajd.70020

Abstract

We reviewed the role of technologies, including artificial intelligence (AI), confocal microscopy (CM), optical coherence tomography (OCT), and Raman micro-spectroscopy (RMS) to assist in detecting keratinocyte carcinoma (KC) from Mohs micrographic surgery (MMS) fresh frozen sections (FFS). AI is potentially capable of screening MMS FFS while also improving the accuracy of the imaging modalities. Further developments and validation studies are required.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

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