The Current and Future State of AI Interpretation of Medical Images | New England Journal of
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Attempts to use computers to aid in the detection of breast malignancies date back more
than 20 years. Despite significant interest and investment, this has historically led to minimal …

Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …

Artificial intelligence (AI) in oncology is advancing beyond algorithm development to
integration into clinical practice. This review describes the current state of the field, with a …

Clinicians face increasing workloads in medical imaging interpretation, and artificial
intelligence (AI) offers potential relief. This meta-analysis evaluates the impact of human-AI …

Healthcare AI solutions have the potential to transform access, quality of care, and improve
outcomes for patients globally. This review suggests consideration of a more global …

A core motivation for the use of artificial intelligence (AI) in medicine is to reduce existing
healthcare disparities. Yet, recent studies have demonstrated two distinct findings:(1) AI …

Background Image-derived artificial intelligence (AI)-based risk models for breast cancer
have shown high discriminatory performances compared with clinical risk models based on …

Objective Accurate detection and classification of breast lesions in early stage is crucial to
timely formulate effective treatments for patients. We aim to develop a fully automatic system …

The diagnosis and treatment of breast cancer (BC) are significantly subject to medical
imaging techniques, with segmentation being crucial in delineating pathological regions for …