Obstetrics & Gynecology

Development of the model for predicting the efficacy of bevacizumab and prognosis in ovarian cancer using deep learning-based pathomics signatures.

An interpretable model based on weakly supervised learning for uterine smooth muscle tumor diagnosis: A multi-center study.

Uterine smooth muscle tumors (USMTs) are the most common tumors of the female reproductive system, but remain diagnostically challenging due to morphological overlap among leiomyosarcoma (LMS), various leiomyoma (LM) subtypes, and smooth muscle tumors of uncertain malignant potential (STUMP). This study aimed to develop a weakly supervised artificial intelligence (AI) model for classifying USMTs a...

AI in Reproductive Medicine: Hope or Hype?

Artificial intelligence (AI) is increasingly used in reproductive endocrinology and infertility (REI), influencing nearly all aspects of assisted repr...

Modulating tumor mechanics and vascular barriers to enhance chemotherapy efficacy in pancreatic tumors and melanoma.

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stroma and dysfunctional vasculature, limiting drug delivery and immune infiltrati...

Clinical practice, barriers to implementation, and priorities for equitable access of Stereotactic Body Radiation Therapy: An analysis of the global status by the ESTRO SBRT Focus Group.

BACKGROUND: Stereotactic Body Radiation Therapy (SBRT) has become an established treatment for several primary and metastatic malignancies; however, c...

Multi-center-validated machine learning model for cervical cancer based on human papillomavirus genotyping results.

OBJECTIVE: Cervical cancer remains a leading cause of gynecologic cancer-related mortality worldwide, with human papillomavirus (HPV) testing being a ...

A Learning Accelerator Framework: Scalable Clinical Artificial Intelligence Development and Delivery.

OBJECTIVES: To introduce a vertically integrated model between a health care service provider and technology developer as a learning accelerator to ad...

Artificial intelligence in gynecologic oncology: A cautionary look in the Indian context.

Artificial intelligence (AI) is making remarkable strides in the field of oncology. The potential is humongous, but the perils are understated. From t...

Aspartame promotes ovarian cancer progression: A multi-omics study integrating mendelian randomization, network toxicology, and in vitro validation.

The causal relationship between the artificial sweetener aspartame and ovarian cancer (OC), a highly lethal malignancy, remains unclear. This study, t...

Emerging nanoparticle-based therapies for pancreatic cancer: Current clinical landscape.

Pancreatic cancer, particularly ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal subtypes due to late diagnosis, the absence of e...

Development and Validation of an Interpretable Machine Learning Model for Predicting Early Fusion After Anterior Cervical Discectomy and Fusion.

STUDY DESIGN: Retrospective case-control study. OBJECTIVES: This study aimed to develop and preliminarily validate a machine learning (ML) model for p...

CIA-net: Cross-modality interaction and aggregation network for ovarian tumor segmentation from multi-modal MRI.

Magnetic resonance imaging (MRI) is an essential examination for ovarian cancer, in which ovarian tumor segmentation is crucial for personalized diagn...

Exploiting colloidal drug aggregation for drug delivery: From promise to prediction using computational tools.

Colloidal drug aggregates are amorphous nanoparticles formed by the self-assembly of hydrophobic small molecule drugs. They can be leveraged as drug-r...

Impact of an autonomous delivery robot on sample turnaround time in a clinical laboratory: an early evaluation of first implementation.

OBJECTIVES: The aim of this study was to evaluate the impact of introducing an autonomous courier in a clinical laboratory, focusing on specimen turna...

Computer-vision based recognition of cervical spine stabilization during trauma resuscitation.

BACKGROUND: Cervical spine (c-spine) injuries can lead to significant disability and mortality. Although stabilization is the primary management for s...

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 laminoplasty (ELAP); however, traditional statistical metho...

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. This clinician-focused review synthesizes current...

Integrative metabolomics and machine learning reveal diagnostic biomarkers for gelsenicine intoxication.

ETHNOPHARMACOLOGICAL RELEVANCE: Gelsemium elegans Benth. (G. elegans) is a highly toxic medicinal plant traditionally used to treat pain and inflammat...

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 children across multiple settings worldwide and is as...

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 cancer. Research on the ability of lactylation-rela...