Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Quantification of placental histopathological structures is challenging due to a limited number of perinatal pathologists, constrained resources, and subjective assessments prone to variability. Objective standardization of placental structure is crucial for easing the burden on pathologists, gaining deeper insights into placental growth and adaptation, and ultimately improving maternal and fetal ...
Adjuvant use of bone-modifying agents (BMAs) to early-stage breast cancer (eBC) aims to maintain bone density, leading to prevention of bone metastasis (BM) in postmenopausal women; its mechanism remains unknown. Clinically, one-quarter of premenopausal women develop osteopenia. To this, deep learning (DL) enables to evaluate the risk of osteoporosis (RO) using perioperative chest radiography. The...
Missed appointments represent a double-edged sword in community health settings. Policies designed to retain patients and ensure continuity of care fo...
This study aims to develop an accessible, machine learning-derived tool for people with type 1 diabetes that predicts hypoglycaemia risk at the start ...
Dental caries is the most common oral disease worldwide, affecting up to 90% of children globally. It can lead to pain, infection, and impaired qualit...
The quality and accessibility of menstrual health education in developing nations, including India, remain inadequate due to challenges such as povert...
Endometriosis is a chronic, hormone-dependent condition that affects 190 million women worldwide. There are no validated biomarkers for endometriosis ...
Large vision-language models (LVLMs) show impressive capabilities in image understanding across domains. However, their suitability for high-risk medi...
Perinatal depression (PND) affects 10-20% of pregnant women, with significant racial disparities in prevalence, screening, and treatment. Neighborhood...
Many women with multiple sclerosis (MS) experience neurogenic overactive bladder (NOAB) characterized by urinary frequency, urinary urgency and urgenc...
Adolescent reproductive health information is increasingly sought on social-media platforms, yet the scope, credibility, and emotional reception of su...
A major challenge in deciphering the complex genetic landscape of Polycystic Ovary Syndrome (PCOS) lies in the limited understanding of how susceptibi...
Diabetes represents an emerging global health crisis, with lower-middle-income countries experiencing a fast growth in prevalence. Diabetes care in th...
Cytopathology plays a central role in the early detection of cancers such as cervical, lung, and bladder cancer due to its speed, simplicity, and mini...
Despite policy support, inappropriate use of emergency contraception (EC) in Ethiopia contributes to high rates of unintended pregnancy and maternal m...
High-dimensional medical datasets present challenges in feature selection, where traditional methods often prioritize spurious correlations over causa...
One of the most difficult challenges in pediatric telemedicine is to accurately discriminate between the ‘sick’ and ‘not sick’ child, especially in re...
The privacy protection of medical patients has remained a critical concern in healthcare information management during the digital era. Conventional a...
Preterm birth, defined as birth occurring before 37 weeks of gestation, poses a significant and enduring public health challenge, with substantial emo...
Artificial intelligence (AI) has potentially shown promise in interpreting ultrasound imaging through flexible pattern recognition and algorithmic lea...