Reporting of both positive and negative concordance is necessary to recognise and investigate bias in digital algorithms.

IF 2.6 4区医学 Q2 PATHOLOGY

Journal of Clinical Pathology Pub Date : 2026-09-18 DOI:10.1136/jcp-2026-210804

Megan L Troxell, Cansu Karakas, Maggie M Lam, Alex M Dussaq, Gregory Bean, Kimberly H Allison

引用次数: 0

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报告积极和消极的一致性对于识别和调查数字算法中的偏见是必要的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Clinical Pathology 医学-病理学

CiteScore

7.80

自引率

2.90%

发文量

113

审稿时长

3-8 weeks

期刊介绍： Journal of Clinical Pathology is a leading international journal covering all aspects of pathology. Diagnostic and research areas covered include histopathology, virology, haematology, microbiology, cytopathology, chemical pathology, molecular pathology, forensic pathology, dermatopathology, neuropathology and immunopathology. Each issue contains Reviews, Original articles, Short reports, Correspondence and more.