Obstetrics & Gynecology

Nano-AI synergy in food chemistry: smart analytical tools for quality, safety, and nutritional profiling.

The convergence of nanotechnology and artificial intelligence (AI) is revolutionizing the landscape of food chemistry, quality control, and nutritional assessment. This review explores the synergistic potential of Nano-AI platforms in enhancing food safety, real-time monitoring, nutrient delivery, and predictive analytics. Nanomaterials-including metallic nanoparticles, lipid-based carriers, and n...

Usability of quantitative atlas measurements from computed tomography images for sex estimation: A machine learning approach.

Sex estimation plays a critical role in forensic identification, missing person identification, and forensic investigations. This study aimed to evaluate the usability of quantitative metric measurements obtained from computed tomography (CT) images of the atlas (the first cervical vertebra) for sex identification using machine learning algorithms. The study used CT images from 200 individuals (10...

Evaluating a negotiation training program for family caregivers of older people using a Multiphase Optimization Strategy (MOST) design and protocol.

UNLABELLED: Traditional clinical trial designs such as the isolated two-arm randomized controlled trial (RCT) do not offer robust solutions for evalua...

Machine learning assisted raman spectroscopy for the classification of ovarian cancer cells.

Ovarian cancer is one of the most lethal gynecological malignancies, asymptomatic early progression, ineffective screening, and high histological hete...

Application and validation of AI-driven methods to explore patient experiences of pre-cervical cancer.

OBJECTIVE: We sought to apply novel natural language processing (NLP) tools to explore patient experiences of pre-cervical cancer on social media and ...

Artificial intelligence application in the prediction of spontaneous preterm birth by cervical length in the first trimester of pregnancy: Comparison of three measurement methods.

OBJECTIVES: The current study evaluates the efficacy of artificial intelligence (AI)-assisted measurement of cervical length (CL) in predicting sponta...

Wearable sensor-based gait evaluation in cervical spondylotic myelopathy: detecting asymptomatic gait dysfunction and heterogeneous gait impairment.

BACKGROUND CONTEXT: Current severity assessment methods for cervical spondylotic myelopathy (CSM) overlook asymptomatic gait dysfunction and potential...

Programmable lipid nanoparticles for RNA therapeutics: Design principles and clinical translation.

RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisense oligonucleotides (ASOs), and in vivo genome edit...

Artificial intelligence for colposcopic and cytological image analysis in early cervical cancer detection.

Artificial intelligence (AI) is reshaping cervical cancer screening by automating interpretation of cytology, colposcopic, and related imaging to impr...

Artificial Intelligence for Genetic Cancer Risk Assessment in Gynecologic Oncology: A Review of the Current Landscape and Future Directions.

Hereditary cancer syndromes are associated with up to 25% of ovarian and 5% of endometrial cancers, yet rates of genetic testing and counseling remain...

A Summary of Artificial Intelligence in Gynecologic Surgery.

Artificial intelligence is transforming healthcare, including obstetrics and gynecology, with applications for diagnostics, outcome prediction, and cl...

Artificial Intelligence in Gynecologic Imaging.

What was done? A review of artificial intelligence (AI) applications for the imaging of uterine fibroids, endometriosis, and adenomyosis. What was fou...

Artificial Intelligence in Obstetrics: The Promise Has Become Reality.

Potential change in healthcare costs of implementing artificial intelligence for detecting cervical spine fractures on CT: an early health technology assessment.

OBJECTIVES: To assess healthcare costs of patients screened for cervical spine (C-spine) fractures using CT, and estimate the change in in-hospital co...

AI-enhanced virtual reality simulation for nursing students' empathy: Automated scoring and inter-rater reliability in a randomised controlled study.

BACKGROUND: Empathy is a fundamental nursing competence that supports effective communication and high-quality care. In obstetric settings, the emotio...

FTIR spectroscopy combined with machine learning reveals molecular signatures distinguishing three phenotypes of endometriosis.

Endometriosis is a chronic inflammatory disorder in which endometrial tissue grows outside the uterus, leading to pelvic pain and infertility. It rema...

Impact of image processing techniques on deep learning-based classification accuracy of cervical vertebral maturation.

OBJECTIVES: This research aimed to investigate how different image processing techniques influence the performance of a deep learning model in classif...

Minimally Invasive, Label-Free, Point-of-Care Histopathological Diagnostic Platform of Malignant Tumors of the Female Reproductive System Based on Raman Spectroscopy and Machine Learning.

Fast intraoperative histopathology is critical for optimal surgery in ovarian, endometrial and cervical cancers, yet frozen-section pathology is slow ...

Automated active learning to optimize hydrogel drug release profiles.

Hydrogels are widely used in drug delivery due to their biocompatibility and tunable release properties. However, optimizing hydrogel formulations to ...

Automated measurement of cervical sagittal and local parameters using a generalizable deep learning model: a multinational development and validation study.

BACKGROUND CONTEXT: Manual measurement of cervical sagittal parameters is time-consuming and exhibits significant interobserver variability. Existing ...