AI-enabled POCUS for breast cancer risk stratification in a resource-limited tertiary clinic

This study provides real-world evidence supporting the integration of AI into POCUS to improve breast cancer detection and clinical decision-making in low-resource environments.

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Publication Details

Journal
South African Journal of Radiology
Published
2025-10-08
DOI
https://doi.org/10.4102/sajr.v29i1.3195
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-enabled POCUS for breast cancer risk stratification in a resource-limited tertiary clinic

Liana Roodt, Kathryn K. Malherbe, Francois Malherbe
South African Journal of Radiology
AI in cancer detection
article

AI-enabled POCUS for breast cancer risk stratification in a resource-limited tertiary clinic

Liana Roodt, Kathryn K. Malherbe, Francois Malherbe
article en

Abstract

This study provides real-world evidence supporting the integration of AI into POCUS to improve breast cancer detection and clinical decision-making in low-resource environments.

South African Journal of RadiologyVol. 29(1)
University of Cape Town (ZA), University of Pretoria (ZA)
Openalex Percentile: Top 85%
AI in cancer detection
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