Equity at the point of care: auditing AI-supported resource allocation in obstetric emergencies.

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Bibliographic Details
Title: Equity at the point of care: auditing AI-supported resource allocation in obstetric emergencies.
Authors: Gao F; West China Second University Hospital, Sichuan University, Chengdu, China.; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China., Xie D; West China Second University Hospital, Sichuan University, Chengdu, China.; Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, China.
Source: Frontiers in public health [Front Public Health] 2026 Mar 03; Vol. 14, pp. 1774367. Date of Electronic Publication: 2026 Mar 03 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2296-2565
DOI:10.3389/fpubh.2026.1774367