Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
A major challenge in biology is predicting how cells transition between states over time and how per...
Dental crown restoration is one of the most common treatment modalities for tooth defect, where pers...
Identification of early interventions to reduce/eliminate asthma - the most common chronic disease a...
Background: Placental growth and function are imperative for healthy fetal growth; data on placentas...
Breast cancer is the most frequently diagnosed malignancy among women worldwide and a leading cause ...
Spatial transcriptomics has transformed our ability to study tissue architecture at molecular resolu...
Endometriosis is a chronic inflammatory condition with significant diagnostic delays impacting one i...
Clinical risk prediction models often underperform in real-world settings due to poor calibration, l...
Perinatal depression (PD) is common and disabling, yet its longitudinal comorbidity patterns and pre...
The study of histopathological subtypes is valuable for the personalisation of effective treatment s...
Background: Risk screening for pre-eclampsia relies on accurate gestational age assessment, but rout...
Aging of hematopoietic stem and progenitor cells (HSPCs) impairs regenerative capacity and predispos...
We present Singpath-VL, a vision-language large model, to fill the vacancy of AI assistant in cervic...
Pregnancy care often involves simultaneous obstetric and other medical conditions, but their co-occu...
Safe and effective gene delivery remains a central challenge for therapeutic applications. While non...
Accurate knowledge of tissue absorption () and reduced scattering (s'), parameters is required to pl...
Pelvic diseases in women of reproductive age represent a major global health burden, with diagnosis ...
Deep learning models enable the prediction of clinical endpoints from whole-slide images (WSIs), but...
Passive acoustic monitoring is a valuable tool for studying elusive marine mammals, but analyzing la...
Performance degradation due to covariate shift remains a major challenge for deep learning models in...
Endometriosis ultrasound reports are often unstructured free-text documents that require manual abst...