Obstetrics & Gynecology

The role of artificial intelligence in pre-operative prediction of completeness of cytoreduction for peritoneal surface malignancies: a scoping review.

BACKGROUND: Complete cytoreduction is the most important prognostic factor for patients with periton...

Automated gross tumour volume delineation on T2-weighted magnetic resonance imaging coupled with radiomics for predicting cervical cancer recurrence.

PURPOSE/OBJECTIVE(S): Cervical cancer patients are at a high risk of tumour recurrence. Accurate del...

Novel Lipid Nanoparticle (LNP) Delivery Systems Enabling the Advancement of RNA Therapeutics.

Lipid nanoparticle (LNP)-mRNA technology has profoundly transformed the biomedical landscape, establ...

The utility of artificial intelligence and deep learning to automate and accelerate follicle counts in human ovarian tissue†.

Follicles comprised of oocytes and surrounding cells are essential for reproductive function. They a...

Clinical-grade autonomous cytopathology through whole-slide edge tomography.

Cytopathology, often abbreviated as cytology, has a central role in the early detection of cancer, s...

A Novel Approach to Ovarian Cancer Diagnosis via CT Imaging: GPT-4o-Driven Automated Feature Recognition and Validation in Clinical Settings.

BACKGROUND: Accurate non-invasive diagnosis of early-stage ovarian cancer remains challenging becaus...

Germline Pathogenic Variant Prediction Model for Tumor-Only Sequencing Based on Japanese Clinicogenomic Database.

PURPOSE: Germline pathogenic variants (GPV) are frequently identified as secondary findings in cance...

3D deep-learning radiomics from MR-T2WI for predicting placenta accreta spectrum disorders: A multicenter study.

OBJECTIVE: To develop a three-dimensional (3D) deep-learning radiomics from magnetic resonance-T2-we...

Title: AI-based quantification of tumor-infiltrating lymphocytes with integrative transcriptomics in ovarian clear cell carcinoma: JGOG3025-TR1/A1 study.

Transcriptomic classification methods have been proposed for ovarian clear cell carcinoma. However, ...

Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer.

Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological...

Estimating the odds ratio from the output scores of machine learning models: possibilities and limitations.

Estimation of exposure-response association is central to epidemiologic research. Although the advan...

Evaluation of AI language models in answering pregnancy-related questions assessed by obstetrics specialists.

This study aimed to compare the performance of three large language models-ChatGPT-3.5, Gemini, and ...

Small-bowel capsule endoscopy - from clinic to couch: time to go green?

PURPOSE OF REVIEW: Small-bowel capsule endoscopy (SBCE) has transformed small-intestine diagnostics ...

Hydrogel-enabled drug delivery for ulcerative colitis.

Ulcerative colitis (UC) represents a chronic, relapsing inflammatory condition primarily affecting t...

The application of Machine learning in predicting the outcomes of minimally invasive treatments for uterine Fibroids: A systematic review and meta-analysis.

RATIONALE AND OBJECTIVES: Uterine fibroids (UFs) are common benign tumors that impact women's health...

Early detection of female-specific cancers using longitudinal healthcare records with a multichannel convolutional neural network.

OBJECTIVES: Female-specific cancers, including breast, ovarian, cervical and uterine malignancies, l...

Early Maturation of Heart Rate Variability in Very Preterm Infants Depends on Neonatal Factors and Is Associated With Neurodevelopmental Risk.

AIM: This study investigated central autonomic network maturation deviations using a previously defi...

Digital Transformation in Clinical Genetics: A Concept Analysis.

Using technology to radically improve performance or the influence of business, known as digital tra...

Translating human capital amid varying intentions to stay: An integrative conceptual review of the immigrant employment attainment process.

Immigrants face a unique challenge in translating their home country human capital to secure employm...

Tumor stroma ratio-based radiomics model for predicting platinum resistance and prognosis in epithelial ovarian cancer.

Artificial intelligence and predictive analytics in obstetric anesthesia: early warning for maternal complications.

PURPOSE OF REVIEW: Maternal morbidity and mortality remain largely preventable, yet current risk-ass...