Obstetrics & Gynecology

Higher Diagnostic Accuracy of an AI Model for Colposcopy Compared With Conventional and Digital Colposcopic Evaluation.

OBJECTIVE: Colposcopy involves subjective visual assessment of cervical features that may indicate c...

Usefulness of Artificial Intelligence for Surgical Support in Robot-assisted Distal Pancreatectomy: A Preliminary Case Report.

BACKGROUND/AIM: The incidence of postoperative complications in minimally-invasive surgery for pancr...

Weakly and semi-supervised segmentation of uterus using coarse annotations in MRI.

Endometrial cancer seriously threatens women's lives via invasion and metastasis, potentially causin...

A concept-enhanced, knowledge graph-guided framework for interpretable PCOS prediction: a case study in explainable biomedical artificial intelligence.

CONTEXT: Overcoming the disconnect between efficient Machine Learning (ML) techniques and its therap...

Machine Learning Prediction of Prevertebral Soft Tissue Swelling after Single-Level Anterior Cervical Surgery : A Proof-of-Concept Study.

OBJECTIVE: Prevertebral soft tissue swelling (PSTS) is a significant complication of anterior cervic...

Artificial Intelligence in Diabetes Care.

BACKGROUND: Diabetes care requires frequent and high-stakes decisions that must be made in the setti...

Developing and validating ultrasound-based machine-learning models incorporating radiomics features to predict malignancy in adnexal masses.

OBJECTIVE: The primary aim of this study was to develop and internally validate ultrasound-based rad...

Automatic Segmentation of Placenta from MR images Using a Novel BiGC U-Net.

Accurate segmentation of the placenta in Magnetic Resonance (MR) images is required for quantitative...

The Dawn of PACS 3.0: The Evolution from Image Access to Workflow Intelligence.

Picture Archiving and Communication Systems (PACS) have evolved over decades in response to changes ...

Deep Learning for Medical Ultrasound Image Segmentation: A Systematic Review of the Current Research.

Deep learning (DL) has enabled automated segmentation of ultrasound images, and due to the rapid dev...

Trends and disparities in female authorship in surgical publications: A large-scale bibliometric study using natural language processing.

BACKGROUND: Gender disparities in academic surgery persist, particularly in authorship positions tha...

Enabling time-aware treatment plan evaluation for clinical proton pencil beam scanning systems.

INTRODUCTION: Clinical Treatment Planning Systems (TPS) for proton pencil beam scanning (PBS) typica...

Assessing the Performance and Reliability of Deep Learning Auto-Segmentation in Videofluoroscopic Swallowing Studies: A Systematic Review and Meta-Analysis.

OBJECTIVE: To systematically evaluate the accuracy and reliability of deep learning-based auto-segme...

XGBoost-Cox modeling with SHAP analysis for survival prediction in ovarian cancer patients: a retrospective cohort study.

DWI-derived intratumoral, peritumoral, and habitat features for preoperative prediction of lymph node metastasis in early-stage cervical cancer using machine learning method.

OBJECTIVES: This study aimed to develop a novel radiomic model by incorporating features from both h...

Employing in-context learning prompts with large language models for drone routing in delivery services.

Autonomous Aerial Vehicles (AAVs) - known as drones - employment in delivery services is one of the ...

Toward animal-free approaches in subcutaneous drug delivery: A pain management case study.

Subcutaneous (s.c.) administration offers practical advantages for long-acting drug delivery, yet it...

Cervical cancer image analysis: Detection and segmentation using self-guided quantum GANs and musical chairs optimization.

The main cause of cervical cancer emerges from long-term Human Papillomavirus (HPV) infections damag...

Automated acquisition of explainable knowledge from unannotated colposcopic images for predicting the natural course of CIN2.

OBJECTIVE: Cervical intraepithelial neoplasia grade 2 (CIN2) represents a critical turning point in ...

Development and validation of a highly accurate multigene gene expression biomarker to predict chemotherapy response in primary triple-negative breast cancer.

PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive subtype lacking estrogen and progeste...

AI innovations for ovarian and endometrial cancer diagnosis: Methodological challenges and engineering roadmap.

The late-stage presentation of ovarian and endometrial cancers, along with varied imaging characteri...