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Noninvasive Breast Cancer Screening Strategies Supported by AI-Based Technologies in Resource-Limited Settings: Is It the Best Opportunity to Strengthen Women's Preferences, Values and Acceptability?

作者信息

Xiques-Molina Wolmark, Lozada-Martinez Ivan David, Fiorillo-Moreno Ornella, Narvaez-Rojas Alexis

机构信息

Research & Development Unit Cure Latam Health Technologies Barranquilla Colombia.

Department of Health Sciences, Biomedical Scientometrics and Evidence-Based Research Unit Universidad de la Costa Barranquilla Colombia.

出版信息

Health Care Sci. 2025 Jul 22;4(4):310-313. doi: 10.1002/hcs2.70025. eCollection 2025 Aug.

DOI:10.1002/hcs2.70025

PMID:40861514

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12371711/

Abstract

摘要

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05a7/12371711/9d3f185e90c7/HCS2-4-310-g001.jpg

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Artificial intelligence for breast cancer screening in mammography (AI-STREAM): preliminary analysis of a prospective multicenter cohort study.

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Acceptability of artificial intelligence in breast screening: focus groups with the screening-eligible population in England.

BMJ Public Health. 2024 Dec 12;2(2):e000892. doi: 10.1136/bmjph-2024-000892. eCollection 2024 Dec.

Operational Advantages of Novel Strategies Supported by Portability and Artificial Intelligence for Breast Cancer Screening in Low-Resource Rural Areas: Opportunities to Address Health Inequities and Vulnerability.

Medicina (Kaunas). 2025 Jan 30;61(2):242. doi: 10.3390/medicina61020242.

A real world evaluation of an innovative artificial intelligence tool for population-level breast cancer screening.

NPJ Digit Med. 2025 Jan 2;8(1):2. doi: 10.1038/s41746-024-01368-2.

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Noninvasive Breast Cancer Screening Strategies Supported by AI-Based Technologies in Resource-Limited Settings: Is It the Best Opportunity to Strengthen Women's Preferences, Values and Acceptability?

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