Integrating Artificial Intelligence into Perinatal Care Pathways: A Scoping Review of Reviews of Applications, Outcomes, and Equity
El Arab et al.
The finding, in our words
Across perinatal care, wearable sensors and home-monitoring platforms support timely intervention, with remote monitoring linked to a 7 to 11 percent reduction in maternal mortality and preeclampsia incidence. In neonatal care, predictive digital monitoring such as the Heart Rate Observation system reduced mortality in very low-birth-weight infants by approximately 20 percent.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
The authors built a home-use ovulation detector that measures basal body temperature and cervical mucus pH, validated it in twenty women, and reported satisfactory performance for identifying fertility windows to aid both contraception and conception. This supports decentralised, patient-managed fertility monitoring integrated with smartphone e-health platforms.
Mansouri, Journal of medical signals and sensors · source ↗
A direct-to-participant, multichannel recruitment strategy enrolled 34,244 older adults into a virtual trial testing an Apple Watch based heart health programme with electrocardiogram and irregular rhythm notification features, achieving broad geographic and gender diversity but under-representing non-White ethnic groups.
Home spirometry gave slightly lower percent-predicted FEV1 values than office measurements cross-sectionally, but the three-month change in lung function did not differ significantly between settings. This suggests home spirometry can reliably detect treatment effects, supporting its use as an endpoint for decentralised cystic fibrosis trials.
Rosenfeld et al., Annals of the American Thoracic Society (paywalled) · source ↗
Wearable-derived digital biomarkers have been accepted by regulatory agencies as endpoints in clinical trials for Duchenne muscular dystrophy, showing their potential to support decentralised diagnostics through patient-centric monitoring. This matters because it enables more sensitive and continuous assessment of disease progression outside clinical settings.
Ma et al., Neurology and therapy (paywalled) · source ↗
This study found that a decentralised approach using home-based sleep apnoea screening, heart rhythm monitoring and activity tracking in patients with atrial fibrillation is feasible, with high data completeness and low drop-out rates. The results support the use of patient-centric digital tools in decentralised trials for chronic cardiac conditions.
Hashiba et al., Danish medical journal (paywalled) · source ↗