Obstetrics & Gynecology

SpiderMass ambient mass spectrometry and multimodal machine learning enable ex vivo ovarian cancer typing and exploratory immunoscoring.

Complete cytoreductive surgery remains one of the strongest determinants of outcome in ovarian cancer, yet surgeons still lack rapid tissue-assessment tools that can be repeated throughout an operation. Here we evaluated whether SpiderMass ambient mass spectrometry, combined with machine-learning models, could support ex vivo ovarian tissue typing and exploratory immune microenvironment mapping. A...

Using machine learning to discriminate non-classical 21-hydroxylase deficiency from polycystic ovary syndrome: an external validation study.

INTRODUCTION: Nonclassical 21-hydroxylase deficiency (NC21OHD) is a rare autosomal recessive disorder that is frequently misdiagnosed as polycystic ovary syndrome (PCOS) because of their overlapping clinical and biochemical presentations. The conventional diagnostic method, the cosyntropin stimulation test, is invasive, time-consuming, and difficult to implement in routine clinical practice. To ov...

Construction and validation of a machine learning model for predicting early pregnancy in patients with polycystic ovary syndrome: a retrospective cohort study.

OBJECTIVE: Polycystic ovary syndrome (PCOS) is a leading cause of female infertility, and early pregnancy outcomes in affected women are affected by m...

Supporting patient understanding of cervical and ovarian cancer: how well does AI perform?

BACKGROUND: As the public increasingly interacts with artificial intelligence (AI) chatbots, we compared the answers from five AI chatbots to standard...

Machine Learning-Assisted Label-Free SERS Decoding of Mitochondrial Molecular Dynamics in Ovarian Granulosa Cells during Aging.

Ovarian aging is a pivotal determinant of female reproductive decline, of which ovarian granulosa cell senescence is the core executive link and ampli...

Structured Large Language Model Workflows for Motivational Interviewing in Health Behavior Change: Proof-of-Concept Study.

BACKGROUND: Motivational interviewing (MI) is an effective approach for supporting health behaviorchange, but face-to-face delivery is resource-intens...

Analysis of electrohysterogram signals for predicting obstetric outcome using machine learning methods: a scoping review.

PURPOSE: Efficiently detecting obstetric outcomes, such as preterm birth or mode of delivery, is crucial for enhancing mother and newborn health. Proa...

Multimodal artificial intelligence for predicting postoperative cesarean scar diverticulum risk.

OBJECTIVES: To develop an artificial intelligence (AI) model to predict cesarean scar diverticulum (CSD) risk following cesarean scar pregnancy (CSP) ...

Artificial intelligence for sexual, reproductive and maternal health in Latin America and the Caribbean: a scoping review.

BACKGROUND: Artificial intelligence (AI) holds considerable promise for strengthening sexual, reproductive and maternal health (SRMH) by enhancing dia...

Artificial intelligence and CRISPR-based approaches for targeted delivery of bacteriophages.

The rapid emergence of multidrug-resistant (MDR) bacteria has increased interest in bacteriophage therapy as a promising alternative to conventional a...

Rostral lesion shift and tract-specific degeneration drive functional heterogeneity in degenerative cervical myelopathy.

BACKGROUND: Degenerative cervical myelopathy (DCM) is the leading cause of spinal cord impairment worldwide, yet conventional magnetic resonance imagi...

Rethinking cancer screening in Italy: equity, performance and innovation.

OBJECTIVES: To examine the current performance of cancer screening programs in Italy, evaluate the evolving regulatory and clinical guideline framewor...

pH-sensitive gelatin-montmorillonite-cerium oxide nanocarriers for controlled quercetin delivery and machine learning release prediction.

In this study, a novel pH-responsive hybrid nanocarrier with a water-in-oil-in-water (W/O/W) emulsion structure was developed using gelatin (G) as a b...

PCOSFusion: a hybrid HOG-LBP feature-based approach for PCOS classification using StackPCOS and StackBoostPCOS.

Polycystic Ovary Syndrome (PCOS) is a prevalent condition affecting female reproductive health, where early and accurate detection through image analy...

Perioperative prediction of adnexal malignancy by an interpretable machine learning model for guiding ovarian preservation in premenopausal endometrial cancer.

BACKGROUND: Ovarian preservation in premenopausal patients with endometrial cancer remains challenging due to the potential presence of concurrent adn...

Label-free cervical cancer detection in tissue samples using Raman spectroscopy combined with machine learning technology.

Cervical cancer is one of the most common malignant tumors of the female reproductive tract, ranking fourth among all female malignancies. Currently, ...

Comparative Effectiveness of AI-Assisted Telerehabilitation, Telerehabilitation, In-Person Care, and Usual Care for Chronic Nonspecific Low Back Pain: Bayesian Network Meta-Analysis.

BACKGROUND: Guided exercise is central to rehabilitation for chronic nonspecific low back pain. Telerehabilitation enables remote delivery of guided e...

Who benefits most? A randomized controlled trial for Parent-implemented social communication intervention for chinese-speaking autistic preschoolers.

BACKGROUND: Parent-implemented interventions (PIIs) are well established for improving developmental outcomes in autistic children. As evidence has ac...

Dosimetry of Inhaled Aerosols: From Exposure to Target Tissue Dose in Risk Assessment and Drug Delivery.

Inhaled aerosol dosimetry is a critical discipline bridging exposure to biological effect in both therapeutic and toxicological contexts. This review ...

Performance of the Pre-Eclampsia Integrated Estimate of Risk-Machine Learning (PIERS-ML) model in a Kenyan cohort of women with pre-eclampsia- a retrospective test derivation validation study.

OBJECTIVE: Pre-eclampsia is a cause of significant maternal morbidity and mortality, with delivery initiating resolution. The Pre-eclampsia Integrated...