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TRV-2026-1079Certified recordPeer-reviewed

Artificial Intelligence as an Assistive Tool in Breast Cancer Screening and Diagnosis in the Digital Era

Objective Breast cancer (BC) is a worldwide health task, and its increasing frequency and the associated burden on healthcare professionals are also increasing. Hence, integrating machine learning (ML) and artificial intelligence (AI) into screening and diagnosis is irrefutable in the digital age. A comprehensive systematic review was conducted aimed at assessing the application of AI and ML techniques to enhance BC screening, diagnosis, classification, and tumor marker scoring. Methods An electronic literature…

Health · G Space — documented gain · certified 2026-09-14 · v1 · article view · machine-readable

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Systematic review finds AI and deep learning models achieve high accuracy on cytology and histopathology images and offer gains in consistency, speed, cost-effectiveness, and reduced pathologist workload in breast cancer screening and diagnosis.

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Truvace Impact Record TRV-2026-1079, v1: “Artificial Intelligence as an Assistive Tool in Breast Cancer Screening and Diagnosis in the Digital Era.” Truvace, 2026-09-14. /record/TRV-2026-1079 (accessed at citation time). sha256 d6a26ba6f25175a1…

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