医学
组内相关
黑色素瘤
H&E染色
肿瘤浸润淋巴细胞
队列
回顾性队列研究
内科学
病理
医学物理学
免疫疗法
癌症
免疫组织化学
临床心理学
心理测量学
癌症研究
作者
Thazin Nwe Aung,Matthew Liu,David Su,Saba Shafi,Ceren Boyacı,Sanna Steen,Nikolaos Tsiknakis,Joan Martínez Vidal,Nigel G. Maher,Goran Micevic,Samuel Tan,Matthew D. Vesely,Saeed Nourmohammadi,Yalai Bai,Dijana Djureinovic,Pok Fai Wong,Katherine E. Bates,Nay Chan,Niki Gavirelatou,Mengni He
出处
期刊:JAMA network open
[American Medical Association]
日期:2025-07-03
卷期号:8 (7): e2518906-e2518906
被引量:8
标识
DOI:10.1001/jamanetworkopen.2025.18906
摘要
In this prognostic study of TIL quantification in melanoma, the AI algorithm demonstrated superior reproducibility and prognostic associations compared with traditional methods. Although the retrospective nature of the cohorts limits demonstration of clinical utility, the publicly available dataset and open-source AI tool offer a foundation for future validation and integration into melanoma management.
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