Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams.

Though consistently shown to detect mammographically occult cancers, breast ultrasound has been noted to have high false-positive rates. In this work, we present an AI system that achieves radiologist-level accuracy in identifying breast cancer in ultrasound images. Developed on 288,767 exams, consisting of 5,442,907 B-mode and Color Doppler images, the AI achieves an area under the receiver operating characteristic curve (AUROC) of 0.976 on a test set consisting of 44,755 exams. In a retrospective reader study, the AI achieves a higher AUROC than the average of ten board-certified breast radiologists (AUROC: 0.962 AI, 0.924 ± 0.02 radiologists). With the help of the AI, radiologists decrease their false positive rates by 37.3% and reduce requested biopsies by 27.8%, while maintaining the same level of sensitivity. This highlights the potential of AI in improving the accuracy, consistency, and efficiency of breast ultrasound diagnosis.

Interventions to increase the duration of breastfeeding in obese mothers: the Bassett Improving Breastfeeding Study.

OBJECTIVE: Maternal obesity is associated with poor breastfeeding outcomes, yet no intervention has been developed to improve them. To ascertain whether increased breastfeeding support or provision of a breast pump is a feasible, effective intervention to improve breastfeeding, we enrolled obese women who intended to breastfeed in two randomized trials. METHODS: In Bassett Improving Breastfeeding Study (BIBS) 1, 40 women received targeted breastfeeding support in the hospital and via telephone or usual care. Information regarding breastfeeding was collected via telephone for 7 days after delivery and at 30 and 90 days postpartum. In BIBS 2, 34 obese mothers received a manual or electric breast pump to use for 10-14 days or no pump; data collection was similar. RESULTS: In both experiments, randomization failed to distribute women of differing postpartum body mass index adequately among the treatment groups. When analyses were adjusted for this, there was no difference in BIBS 1 between targeted and usual care groups and in BIBS 2 among the treatment groups in the proportion of women still breastfeeding at the times studied. CONCLUSIONS: In future studies of obese women, stratified randomization may be necessary. Further development of interventions to help obese women achieve optimal breastfeeding outcomes is required.