Obstetrics & Gynecology

Machine Learning-Based Prediction for Axial Pain Following Expansive Unilateral Open-Door Laminoplasty: A Retrospective Cohort Study.

INTRODUCTION: Axial pain is a common complication following expansive unilateral open-door laminopla...

Transforming Gynecologic Cancer Care Through Artificial Intelligence: A Clinician's Guide to the Evolving Landscape.

Artificial intelligence (AI) is rapidly reshaping gynecologic oncology across the continuum of care....

The global epidemiology of acute kidney injury: challenges and opportunities.

Acute kidney injury (AKI) is a devastating complication of acute illness that affects adults and chi...

Development of a lactylation-related molecular classification and machine learning-based gene signature to predict survival, response to immunotherapy for ovarian cancer.

BACKGROUND: Lactylation is acknowledged as a regulator of numerous biological processes related to c...

Morphologic Evaluation of Hyperchromatic Crowded Groups Present in Cervical Thin Prep Cytology Tests as Identified by the Hologic Genius Digital Diagnostics System: A Descriptive Study.

BACKGROUND: Our descriptive study focused on morphologic characteristics of hyperchromatic crowded g...

Recent advances in numerical simulation of magnetically guided drug delivery systems and applications.

Magnetically guided drug delivery (MGDD) employs magnetic forces acting on magnetically responsive d...

Low-Field Magnetic Resonance Imaging of the Late Gestation Cervix and Birth Outcome Correlation: A Prospective Cohort Study.

OBJECTIVE: To use low-field MRI to produce reconstructions and 3D models of the cervix and to automa...

Machine learning-guided composite ionic liquid-based system for dual-drug delivery targeting redox homeostasis and STAT3-PI3K axis in psoriasis therapy.

Excessive accumulation of reactive oxygen and nitrogen species (RONS) exacerbates inflammatory respo...

Plant immune inducers from fundamental research to applications: Past achievements, current challenges, and future perspectives.

Plant pathogens cause substantial global crop losses, posing a serious threat to food security. Conv...

Multi-omic biomarker detection in ovarian cancer.

Ovarian cancer remains one of the most lethal gynecologic malignancies, largely because of late-stag...

Applicator reconstruction in cervical cancer brachytherapy: A systematic review of current methods, challenges, and AI-driven future directions.

PURPOSE: Accurate applicator reconstruction is a critical step in 3D image-guided brachytherapy (3D-...

AI-based automated weight prediction in cattle for herd health surveillance.

Early and accurate monitoring of livestock health is critical for effective disease prevention, welf...

The added value of radiomic analysis for predicting spontaneous preterm birth in the first trimester.

BACKGROUND AND OBJECTIVE: Preterm birth (PTB) is a public health problem. Researchers have worked to...

Automated Recognition and Measurement for Levator Hiatus in 3D Ultrasound: A Clinical Study in Postpartum Women.

OBJECTIVES: To evaluate the performance of a CNN-based (convolutional neural networks-based) AI soft...

Industrial engineering solutions enhance operational efficiency in human and veterinary hospitals: a scoping review.

Human and veterinary healthcare systems face many parallel challenges, yet opportunities for cross-s...

Machine learning-based diagnosis of uterine myomas and sarcomas using tumor-educated platelet transcriptomics: a retrospective multicenter study.

Assessing the Accuracy of Large Language Models on European Guidelines for Cervical Cancer: An In Silico Benchmarking Study.

OBJECTIVE: Although large language models are increasingly used in clinical and research settings, t...

Guiding design and performance of nonviral nucleic acid delivery vehicles via machine learning.

Machine Learning (ML) techniques have enabled the advancement of many technologies throughout the ph...

Detection of peritoneal, ovarian, and bowel endometriosis using FTIR spectroscopy and machine learning.

This study evaluated the diagnostic potential of Fourier-transform infrared (FTIR) spectroscopy comb...

Clinical Application of an AI-Driven Framework for Accurate Endometrial Thickness Measurement in Transvaginal Ultrasound.

OBJECTIVE: This study aims to develop an AI-based framework for automatic endometrial thickness (ET)...

Transformer-based ultrasound radiomics for novel multi-task automated segmentation and classification of ovarian tumors.

OBJECTIVE: To develop and evaluate a comprehensive AI-driven pipeline for automated segmentation and...