Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Accurate diagnosis of obstetric anal sphincter injuries (OASIs) is critical for timely repair and pr...
To identify post-marketing adverse event (AE) signals associated with isotretinoin using real-world ...
In this study, we developed ML algorithms to predict fragility fractures, considering the occurrence...
The inbuilt ability to adapt existing models to new applications has been one of the key drivers of ...
The success of drug development relies heavily on the use of animal models. However, increasing evid...
For accurate medication usage statistics and medication adherence calculations, we need to have an a...
Microsatellite instability (MSI) is a key biomarker for immunotherapy response and prognosis across ...
Human milk (HM) is a complex ecological matrix that connects mothers and infants to the surrounding ...
This study evaluated the prognostic performance of RlapsRisk BC, a multimodal deep learning tool des...
Bronchopulmonary dysplasia (BPD) and pulmonary hypertension (PH) are leading causes of morbidity and...
This scoping review explores how predictive modelling can strengthen pre-exposure prophylaxis (PrEP)...
Dysmenorrhea, or menstrual pain, is a prevalent issue among female university students that negative...
Osteoporosis is a major health concern in Vietnam due to a rise in aging rates. However, cost-effect...
Closed-loop insulin delivery systems have proven effective in regulating blood glucose (BG) concentr...
Radiotherapy treatment planning is a resource-intensive process characterized by multiple manual ste...
Mucosal vaccines may reduce both infection and transmission by engaging local immunity, yet the immu...
Large language models (LLMs) are increasingly used in healthcare, but standardized benchmarks fail t...
Global surgical care faces a severe workforce shortage, with more than 1.2 million additional specia...
Manual inpatient screening for substance misuse is labor-intensive and inconsistently applied. Evalu...
Large language models (LLMs) have shown promise in medical imaging, but their utility in cytology re...
Accurate molecular profiling and prognostication from routine histopathology slides could transform ...