Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
Seated posture (Asana) is an important part of Hindustani classical vocal pedagogy, yet its biomechanical function remains under-researched. This exploratory pilot study applies "Kinematic Chain" theory-where proximal stability dictates distal mobility-to investigate the link between pelvic alignment and vocal acoustics. Ten students (n = 10), beginner-to-intermediate level, learning in a universi...
BACKGROUND: Artificial intelligence has previously demonstrated the capability to interpret cervical spine imaging. The present study aims to identify whether deep learning can be harnessed to triage patients into operative and nonoperative groups based on imaging findings, an intricate process complicated by the high rates of background findings. METHODS: A deep-learning algorithm was trained to ...
The emergence of anti-vascular endothelial growth factor (anti-VEGF) therapy has marked a paradigm shift in the treatment of retinal and choroidal vas...
Medical microrobots have strong potential for targeted therapeutic delivery; however, current systems achieve only physical targeting, and once at the...
OBJECTIVES: Globally, dental reforms have gained momentum through enhanced policy dialogues, the rise of digital health, artificial intelligence and o...
BACKGROUND: Accurate pretreatment assessment of the extent of tumor invasion and status of cervical lymph node metastasis is essential for staging and...
Uterine corpus endometrial carcinomas (UCEC) are common cancers of the female reproductive system linked to environmental chemicals. Thiabendazole (TB...
BACKGROUND: Short birth interval is an important reproductive health concern in low- and middle-income countries, including Bangladesh, as it may have...
Female reproductive aging has systemic health implications, yet tissue-level dynamics remain poorly understood. Here we integrate deep learning analys...
PURPOSE: To evaluate the incidence of uterine tachysystole and determine if nurses' management of tachysystole using an artificial intelligence-enable...
OBJECTIVE: This study aims to deeply mine the radiomic features of the primary tumor (GTVp) and cervical metastatic lymph nodes (GTVn) in nasopharynge...
BACKGROUND: Placenta is a focal point of cellular interactions of maternal and fetal immune systems, fostering immune tolerance essential for a succes...
Diabetes mellitus represents one of the most prevalent chronic diseases worldwide, posing serious challenges to global health and healthcare sustainab...
Accurate segmentation of the Clinical Target Volume (CTV) and Organs At Risk (OARs) is a prerequisite for effective cervical cancer radiotherapy. Howe...
Objective: To systematically summarize and evaluate the current application status and research progress of artificial intelligence (AI) in cervical c...
Lipid nanoparticle (LNP) delivery of RNA therapeutics is constrained by poor tissue selectivity and off-target toxicity. Most high-throughput screenin...
Vaginal drug delivery in women's health remains underutilized and insufficiently studied, largely due to the complexity and dynamic nature of the vagi...
Cytopathology is the first field of pathology in which artificial intelligence (AI) models were successfully developed and commercialized for routine ...
BACKGROUND: Endometriosis is a chronic estrogen-dependent inflammatory disorder associated with pelvic pain, infertility, and an increased risk of end...
Parenting difficulties during the first postpartum year are a public health concern. Early screening mainly uses depressive-symptom measures such as t...