Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: Young adults aged 18 to 25 years in rural communities face barriers to sexual and reproductive health (SRH) information, including clinician shortages, clinic closures, and privacy concerns in close-knit communities. Many rely on online sources of varying quality; one analysis found that 40% of birth control video content is inaccurate or misleading. AI-enabled conversational health to...
The precision of modern radiotherapy hinges on the dynamic sculpting of dose by multi leaf collimators (MLCs). This study introduces a physics informed, interpretable framework that models MLC related delivery uncertainties and predicts their dosimetric impact, shifting patient-specific quality assurance (PSQA) from passive verification to proactive intervention. Approach: We analyzed trajecto...
Targeted Drug Delivery Systems (TDDS) have been proposed as an innovative approach for enhancing therapeutic efficiency through selective targeting of...
Bisphenol A (BPA) exposure is associated with gestational diabetes mellitus (GDM); however, the underlying molecular mechanisms remain elusive. This s...
To improve patient compliance and provide stable and prolonged delivery of drugs to the brain, transdermal drug delivery systems (TDDS) are being expl...
The rapid integration of Artificial Intelligence (AI) in higher education has changed teaching and assessment practices and has introduced new risks f...
Hydrogel magnetic microrobots are promising for targeted drug delivery, but large drug-loaded microrobots are difficult to manipulate as stable swarms...
BACKGROUND: Traumatic cervical spinal cord injury (TCSCI) often causes severe neurological dysfunction. Accurate prediction of functional recovery is ...
Unopposed estrogen refers to prolonged estrogenic stimulation in the absence of adequate progesterone-mediated counter-regulation. Unopposed estrogen ...
PURPOSE: Ovarian cancer is a heterogeneous solid tumor, whereas polycystic ovary syndrome (PCOS) is a distinct endocrine-metabolic ovarian disorder. W...
RNA pesticides have garnered considerable attention in pest management due to their exceptional selectivity, environmental safety, and flexible design...
RATIONALE AND OBJECTIVES: To develop a multimodal ultrasound radiomics model based on conventional ultrasound and three-phase contrast-enhanced ultras...
INTRODUCTION: Nanoparticle-based drug delivery has emerged as a transformative approach in modern therapeutics, offering improved targeting efficiency...
Training in gynecologic oncology requires mastery of complex decision making and technically demanding procedures, yet opportunities for repetitive pr...
Small interfering RNA (siRNA) therapeutics has huge potential for treating many diseases, including those incurable or undruggable by small molecules ...
Robotic arms are widely used in various aspects of human-robot collaboration. The primary goal of this study is to explore the usability of robotic ar...
OBJECTIVES: This study evaluates the impact of neoadjuvant chemotherapy (NAT) on breast tissue density and examines the correlation between density ch...
AIM: To develop and validate machine learning models for clinically applicable risk stratification of postpartum hemorrhage (PPH) in vaginal delivery,...
PURPOSE: Traumatic cervical spinal cord injury (TCSCI) frequently necessitates mechanical ventilation, and early tracheostomy has been shown to reduce...
BACKGROUND: Cervical cancer (CC) is a main malignancy affecting women globally, with a high mortality rate. Chemoradiotherapy resistance is a signific...