Obstetrics & Gynecology

Ensemble machine learning algorithms leveraged on serum proteomics for enhanced early detection of ovarian cancer.

Ovarian cancer poses a significant clinical challenge due to its asymptomatic onset and poor prognosis, highlighting the critical need for effective early detection strategies. This study developed a framework that integrates serum proteomic profiling with machine learning algorithms. Serum samples from 188 patients and 208 healthy controls were analysed via Matrix-Assisted Laser Desorption/Ioniza...

Older adults' perceptions of artificial intelligence in healthcare: an exploratory quantitative analysis.

BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) has the potential to improve healthcare outcomes. There is limited literature regarding older adults' perceptions on the application of AI. We explored older adults' perceptions of current communication, AI's role in healthcare delivery, and AI's use for various functions with and without clinician supervision. RESEARCH DESIGN AND METHODS: As...

Machine learning and neural network algorithms for prediction of C5 palsy after posterior surgery for ossification of posterior longitudinal ligament.

PURPOSE: C5 palsy (C5P) is one of the main postoperative complications of ossification of the posterior longitudinal ligament (OPLL). However, an accu...

Advanced intelligent drug-device combination systems: regulatory landscapes, technological foundations, and clinical translation.

Drug-device combinations (DDCs) have evolved from simple drug-coated implants into sophisticated intelligent platforms capable of real-time sensing, a...

Global Perspectives on CNS Drug Innovation: Achievements, Barriers, and Priorities for the Next Decade.

BACKGROUND: Over the past decade, neuropsychopharmacology has shifted from stagnation to momentum, with first-in-class mechanisms and biomarker-enable...

Adnexal torsion diagnosis framework with CT-based adaptive preprocessing and deep neural networks.

Adnexal cystic torsion is a gynecological emergency that requires prompt and accurate diagnosis followed by immediate surgical intervention to preserv...

Advances in neuropharmacology: Innovative drug strategies targeting synaptic plasticity, neuroinflammation, and ion channel regulation for future CNS treatments.

As our understanding of the molecular and cellular mechanisms underlying central nervous system (CNS) disorders expands, neuropharmacology is undergoi...

Artificial intelligence in ovarian pathophysiology and management: a systematic review and meta-analysis.

BACKGROUND: The integration of artificial intelligence (AI) into reproductive medicine and gynecologic oncology has driven transformative advances in ...

The Pathophysiology of Spontaneous Preterm Birth: Emerging Mechanisms Reviewed by the Preterm Birth International Collaborative.

Around 10% of global births are preterm (before 37 weeks of gestation), posing a significant challenge to maternal and neonatal health. Preterm infant...

Diagnostic Proficiency of Large Language Models in the Interpretation of Cervical Cytopathology.

To evaluate the diagnostic proficiency of well-established multimodal Large Language Models (LLMs)-specifically Gemini, Claude, and Copilot-in interpr...

Spinal Cord Radiomics-Driven Machine Learning Predicts Meaningful Clinical Improvement After Surgery for Degenerative Cervical Myelopathy: A Pilot Study.

A prospective observational cohort study. To determine whether machine learning models using radiomic features derived from preoperative MRI, clinical...

Optimizing cervical cancer diagnosis with a hybrid deep neural network and progressive resizing on pap smear WSIs.

Nowadays, computer-aided diagnostic (CAD) systems powered by artificial intelligence (AI) are becoming increasingly prevalent in cervical cancer diagn...

Focused Ultrasound in Brain Tumors: Mechanisms, Imaging Guidance, and Emerging Clinical Applications.

Focused ultrasound (FUS) is an emerging therapeutic and diagnostic technology in neuro-oncology, offering new strategies for molecular diagnosis, drug...

Integrating QSAR-Machine Learning, Biochemical Assays, and Molecular Dynamics for the Discovery of JAK2 Inhibitors in Cervical Cancer.

Cervical cancer remains a major global health challenge, where dysregulated JAK2 signaling constitutes a key molecular driver. Nevertheless, selective...

Comprehensive evaluation of cross cancer generalization in histopathology segmentation models across 21 tumor types.

BACKGROUND: Artificial intelligence has significantly advanced computational pathology by enabling high-resolution, clinical-grade tumor segmentation ...

A qualitative interview study investigating patient, health professional, and developer perspectives on real-world implementation of patient-centered AI systems.

Artificial intelligence (AI) systems in healthcare often fail to improve patient outcomes despite high development accuracy. We conducted semi-structu...

Deep learning-assisted versus manual reading in routine cervical cytopathology: a multicentre randomised crossover trial.

Deep learning (DL) systems could improve diagnostic accuracy and efficiency in detecting cervical atypia, but their effectiveness remains insufficient...

A hybrid deep-learning-architecture for identifying cotton content in fabric materials.

Recycling plays a crucial role in achieving sustainable production. In particular, automating sorting processes holds great promise for enhancing both...

A systematic review and meta-analysis of medical image-based artificial intelligence models for predicting metastasis in ovarian cancer.

OBJECTIVE: To conduct a systematic review and meta-analysis evaluating the diagnostic performance of medical image-based artificial intelligence (AI) ...

Utilizing generative artificial intelligence to create simulated patient for history taking in gynecology.

INTRODUCTION: This study aimed to evaluate the effectiveness of a generative artificial intelligence based simulated patient model in improving gyneco...