Latest AI and machine learning research in obstetrics & gynecology for healthcare professionals.
BACKGROUND: As Singapore adopts a population health approach under Healthier Singapore (Healthier SG), optimizing healthcare resources is crucial. We examined referral reasons (using large language models [LLM]), wait times, and analyse factors affecting referrals from primary to tertiary care. METHODS: In 2023, 1,063,646 patient visits from seven primary care clinics in Singapore were analysed. P...
Manual forecasting of seasonal medication demand results in inefficiencies and labor burden. With the advancement of machine learning, there is an opportunity to develop a machine learning model that can predict the expected usage of medication for the next season by identifying patterns in usage data. This study aims to assess the application of a seasonal autoregressive integrated moving average...
INTRODUCTION AND AIM: Oral squamous cell carcinoma (OSCC) rates have been on the rise globally due to a lack of health care facilities, unaffordable t...
Ionizable lipids are fundamental to the efficacy of lipid nanoparticles (LNPs) in pivotal areas including mRNA vaccines. Their development, however, i...
INTRODUCTION: Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, an...
Polymeric nanoparticles are a state-of-the-art innovation in nanomedicine, offering site-specific drug delivery, an improved pharmacokinetic profile, ...
STUDY DESIGN: Retrospective two-center external validation study conducted at two medical centers, collecting cervical spine MRI data from patients su...
BACKGROUND AND AIMS: Liver fibrosis poses a major health threat globally, with an acute shortage of effective treatments to stop or reverse its progre...
BACKGROUND: Accurately predicting ovarian response and determining the optimal starting dose of follicle-stimulating hormone (FSH) remain critical yet...
Classification of benign, borderline, and malignant adnexal masses is critical to effective clinical management, but remains a challenge. We developed...
Inclusion of physiologically relevant clearance mechanisms into organ-on-a-chip models is essential to reproduce tissue exposure and predict therapeut...
OBJECTIVE: To construct an efficacy prediction model for polycystic ovary syndrome with insulin resistance (PCOS-IR) treated with acupuncture and moxi...
The integration of robotics and artificial intelligence (AI) into nanomedicine represents a significant advancement in developing targeted therapeutic...
Ovarian endometriosis (OvE) is a gynecological disorder with endometrial tissue in the ovaries, for which effective non-invasive diagnosis and curativ...
PURPOSE: Accurate prediction of beam delivery time (BDT) is critical for operational efficiency, 4D dose calculations, and advanced proton therapy tec...
Prostate cancer therapy is limited by systemic toxicity and inefficient tumor-selective delivery. Here we report a multi-stimuli-responsive nanocompos...
OBJECTIVE: This study aimed to build a multimodal ultrasound (color Doppler flow imaging/shear wave elastography/contrast-enhanced ultrasound) combine...
OBJECTIVE: This study aims to enhance antenatal detection of placenta accreta spectrum (PAS) and predict severe hemorrhage at delivery using machine l...
PURPOSE: Artificial intelligence in human-assisted reproduction has attracted intense interest and inflated expectations, with proposed applications r...
Social dilemmas can be considered situations where individual rationality leads to collective irrationality. The multi-agent reinforcement learning co...