The impact of AI implementation in mammographic screening: redefining dense breast screening practices

Excerpt

Many studies have demonstrated the beneficial impact of artificial intelligence (AI) implementation on breast radiologists’ performance in the context of breast cancer mammographic screening [1]. AI has been effectively utilized as a second reader or only reader for cases deemed low risk, thereby reducing the workload of breast radiologists and enhancing overall screening outcomes [1‐3]. Breast density poses a significant challenge to mammographic screening efficacy, as it is well-established that mammography and even digital breast tomosynthesis have reduced sensitivity in women with dense breasts. Consequently, supplemental screening modalities such as breast MRI, ultrasound, or contrast-enhanced mammography are often recommended [4‐6]. …