Comparative Evaluation of Machine Learning and Specialist Physicians in Breast Care Triaging: A Real-World Observational Study

The ML model demonstrated diagnostic accuracy comparable to or better than that of physicians while significantly reducing the time required. These findings suggest that AI-powered triage tools could enhance the efficiency and standardization of breast triage.

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Publication Details

Journal
European Journal of Breast Health
Published
2025-12-25
DOI
https://doi.org/10.4274/ejbh.galenos.2025.2025-4-1
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

Comparative Evaluation of Machine Learning and Specialist Physicians in Breast Care Triaging: A Real-World Observational Study

Aswini Kumar Misro, Naim Kadoglou
European Journal of Breast Health
AI in cancer detection
article

Comparative Evaluation of Machine Learning and Specialist Physicians in Breast Care Triaging: A Real-World Observational Study

Aswini Kumar Misro, Naim Kadoglou
article en

Abstract

The ML model demonstrated diagnostic accuracy comparable to or better than that of physicians while significantly reducing the time required. These findings suggest that AI-powered triage tools could enhance the efficiency and standardization of breast triage.

European Journal of Breast HealthVol. 22(1)
London North West Healthcare NHS Trust (GB), UK Research and Innovation (GB), West London Mental Health NHS Trust (GB)
Openalex Percentile: Top 18%
AI in cancer detection
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