We present a comprehensive Framework for Digital Health Equity, detailing key digital
determinants of health (DDoH), to support the work of digital health tool creators in industry …

The use of machine learning (ML) in healthcare raises numerous ethical concerns,
especially as models can amplify existing health inequities. Here, we outline ethical …

Hidden in Plain Sight Diagnostic algorithms and practice guidelines that adjust or “correct”
their outputs on the basis of a patient's race or ethnicity guide decisions in ways that may …

Background Investigators have attempted to derive tools that could provide clinicians with an
easily obtainable estimate of the chance of vaginal birth after cesarean delivery for those …

The increasing rate of elective and indicated caesarean sections worldwide has led to new
pathologies and management challenges. The number of patients undergoing trial of labor …

Population and public health are in the midst of an artificial intelligence revolution capable of
radically altering existing models of care delivery and practice. Just as AI seeks to mirror …

Health care provision is increasingly focused on the prediction of patients' individual risk for
developing a particular health outcome in planning further tests and treatments. There has …

剖宫产术后瘢痕子宫再次妊娠的分娩方式是国内外学者研究的热点问题之一,
我国剖宫产率呈逐年升高趋势, 瘢痕子宫再次妊娠分娩方式的选择作为产科医师面临的难题日益 …

Background Efforts to reduce cesarean delivery rates to 12–15% have been undertaken
worldwide. Special focus has been directed towards parturients who undergo a trial of labor …

Within obstetrics and gynecology, vast racial disparities persist in maternal mortality and
morbidity in the United States. Nationally, black women remain three to four times more …