Obstetrics & Gynecology

Development and validation of a deep learning radiomics model for predicting adjacent segment degeneration following anterior cervical discectomy and fusion.

Fact-Checking Large Language Model Responses to a Health Care Prompt: Comparative Study.

BACKGROUND: Large language models use machine learning to produce natural language. These models have a range of potential applications in health care, such as patient education and diagnosis. However, evaluations of large language models in health care are still scarce. OBJECTIVE: This study aimed to (1) evaluate the accuracy and efficiency of automated fact-checking by 2 large language models an...

Pregnancy changes the variability of brain signaling.

We have shown that pregnancy alters brain structure and brain activity, yet its effects on neural dynamics are unknown. This is the first study to inv...

Nurses' Evaluation of a Service Robot for Inpatient Care: Technology Acceptance Study.

BACKGROUND: The integration of robotic systems into nursing practice is increasingly discussed as a potential strategy to alleviate workload and suppo...

Integrated computational screening of FDA-approved anticancer drugs as novel HPV-16 E6 inhibitors in cervical cancer.

Intelligent diagnosis of ovarian cancer in PET/CT imaging based on KiteNet-MobileNetv3 fusion and CarveMix augmentation.

A deep learning-driven automated treatment planning framework for cervical cancer patients treated with volumetric modulated arc therapy.

BACKGROUND AND PURPOSE: The rapid and efficient generation of high-quality, dose-consistency volumetric modulated arc therapy (VMAT) plans remains cha...

Development of a Predictive Model for the Latency Period in Preterm Premature Rupture of Membranes Before 32 Weeks' Gestation.

BACKGROUND: Only 13.7% of corticosteroid treatments occurred within the most effective treatment time window for preterm premature rupture of membrane...

Personalized Digital Care Program Allocation for Older Adults: Reinforcement Learning-Based Simulation Study.

BACKGROUND: As the demand for innovative older adult care grows alongside a shortage of care workers, personalization is key to optimizing services an...

Noninvasive prediction of lymph-vascular space invasion in cervical cancer based on ultrasomics nomogram.

Translational Research to Maximize the Impact of e-Oral Health.

The rapid development of digital technologies is reshaping oral health research and care delivery. However, the translation of these innovations into ...

3D printed drug delivery devices: recent promises and challenges.

INTRODUCTION: 3D Printing (3DP) has gained decent pace in the past decade in the pharmaceutical and biomedical fields. The approval of 3D-printed medi...

Synthetic cervical spine radiographs: expert validation and transfer learning for low-data settings.

Smart hydrogels for overcoming cancer multidrug resistance.

Multidrug resistance (MDR) remains the principal impediment to curative oncology, driven by complex interplays between cancer cells and the tumor micr...

Clinical relevance of the characterisation and quantification of CD8+ T-cell infiltration in high-grade serous ovarian carcinoma using machine learning-based image analysis of dual immunostaining.

INTRODUCTION: High-grade serous carcinoma (HGSC) is the most common and aggressive subtype of ovarian cancer. Although tumour stage and complete cytor...

Automated O-RADS Risk Stratification Using a Large Language Model Analysis of Narrative Ultrasound Reports.

BACKGROUND: The Ovarian-Adnexal Reporting and Data System (O-RADS) is essential for standardizing the risk stratification of ovarian lesions detected ...

Model Based on Ultrasound Radiomics and Machine Learning for Differentiating Uterine Fibroids and Adenomyomas.

OBJECTIVES: To evaluate the value of radiomics based on ultrasound in differentiating uterine fibroids (UFs) and uterine adenomyomas (AMs) and constru...

Prediction of chemoresistance in ovarian cancer based on deep learning with pathological images.

Deepath-SCC: a deep learning model for accurate tissue origin identification in squamous cell carcinoma.

Squamous cell carcinoma (SCC) is a common malignancy that arises in diverse organs and often exhibits overlapping histological and immunophenotypic fe...

Light-XAI: a CADx for explainable cervical cancer detection via attention-based lightweight convolutional neural networks and layer-wise feature fusion.