English(EN) AI-assisted mitotic counting improves reproducibility and efficiency across multiple tumour types

AI工具MitPro提高了病理学家有丝分裂计数准确性和速度

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

一款名为MitPro的新AI工具已被开发出来，用于协助病理学家进行有丝分裂计数，这是肿瘤分级和诊断的关键步骤。在一项涉及13名病理学家和385张全切片图像（涵盖七种肿瘤类型）的研究中，MitPro显著提高了有丝分裂计数的一致性，将组内相关系数从0.589提高到0.949。该工具还大大缩短了评估时间，将每次评估的平均时间从286.4秒减少到127.8秒。这些改进在不同的成像系统和肿瘤类型中均有观察到，表明MitPro有潜力增强常规病理评估。 AI

影响提高病理学诊断的准确性和效率，可能导致更快、更可靠的癌症分级。

排序理由详细介绍用于医学诊断的新AI工具的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Simon Graham, Mostafa Jahanifar, Quoc Dang Vu, Vygante Maskoliunaite, Donatas Petroska, Ruta Barbora Valkiuniene, Ayat Gamal Lashen, Jen Hong Ong, Amede Ogechi Nnorom, Sinclair Couper, Natasha Kardasz, Reshma Agrawal, Brinder Singh Chohan, Jose Luis Solo… · 2026-10-02 04:00

AI辅助有丝分裂计数可提高多种肿瘤类型的可重复性和效率

arXiv:2610.01813v1 Announce Type: new Abstract: Mitotic counting is an important component of tumour grading, diagnosis and prognostic assessment across several tumour types, but manual assessment is time-consuming and subject to inter-pathologist variability. To help address the…

本文如何被排名

报道来源 [1]

AI辅助有丝分裂计数可提高多种肿瘤类型的可重复性和效率

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