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New pathology foundation model CorePath improves breast cancer diagnosis

Researchers have developed CorePath, a specialized pathology foundation model designed for breast core needle biopsy diagnosis. Fine-tuned from the PRISM model using a dataset of 7,901 paired images and reports, CorePath demonstrated superior performance in cancer detection, invasion assessment, and histological subtyping compared to its base model and other leading pathology foundation models on both private and public benchmarks. Additionally, a variant called CorePath-CRG was introduced, which significantly reduces non-breast hallucinations in report generation and incorporates risk control mechanisms for selective report release and deferral, achieving zero non-breast hallucinations in its released outputs. AI

IMPACT This specialized foundation model demonstrates improved accuracy and reliability in breast cancer diagnosis and reporting, potentially enhancing clinical decision-making.

RANK_REASON Academic paper detailing a new specialized foundation model for medical diagnosis. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New pathology foundation model CorePath improves breast cancer diagnosis

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ting Yin, Danning Li, Chen Shu, Xiaoxia Yao, Boyu Fu, Yujing Chang, Tianyu Shi, Mengna Feng, Jie Chen, Jing Fu, Xiuli Xiao, Tianlin Li, Mumin Shao, Jiaxin Bi, Wenchuan Zhang, Xiaoyan Wu, Xiao Han, Zhang Zhang, Yuhao Yi, Hong Bu ·

    CorePath: A Breast-Specialized Pathology Foundation Model for Core Needle Biopsy Diagnosis and Risk-Controlled Report Generation

    arXiv:2608.03079v1 Announce Type: cross Abstract: Breast core needle biopsy (CNB) is central to breast cancer diagnosis yet remains challenging because limited tissue sampling, lesion heterogeneity, and subtle morphologic overlap can obscure subtype distinctions. We developed Cor…