Identifying and Reporting Dependent Adult abuse

Systematic Exploration of Hospital Cost Variability: A Conformal Prediction-Based Outlier Detection Method for Electronic Health Records.

Marked variability in inpatient hospitalization costs poses significant challenges to healthcare qua...

Mammography reporting dataset with BI-RADS system for natural language processing applications: Addressing public data gaps in Spanish.

Applying Natural Language Processing (NLP) to clinical reports is important for automating the analy...

Insights Powered by Artificial Intelligence: Analyzing the Extent of Method Validation in Pesticide Residue Literature.

Validation of analytical methods to assess figures of merit and other key performance parameters is ...

PhenoDP: leveraging deep learning for phenotype-based case reporting, disease ranking, and symptom recommendation.

BACKGROUND: Current phenotype-based diagnostic tools often struggle with accurate disease prioritiza...

The Current State of Artificial Intelligence on Detecting Pulmonary Embolism via Computerised Tomography Pulmonary Angiogram: A Systematic Review.

Pulmonary embolism (PE) is a life-threatening condition with significant diagnostic challenges due ...

HLN-DDI: hierarchical molecular representation learning with co-attention mechanism for drug-drug interaction prediction.

BACKGROUND: Accurate identification of drug-drug interactions (DDIs) is critical in pharmacology, as...

The effects of learning experience on college students' deep english learning: a study of the chain mediation effect of motivation and strategy.

This study focuses on the impact of learning experience on college students' deep learning of Englis...

Efficiency and Quality of Generative AI-Assisted Radiograph Reporting.

IMPORTANCE: Diagnostic imaging interpretation involves distilling multimodal clinical information in...

A Deep Learning-Based Artificial Intelligence Model Assisting Thyroid Nodule Diagnosis and Management: Pilot Results for Evaluating Thyroid Malignancy in Pediatric Cohorts.

Artificial intelligence (AI) models have shown promise in predicting malignant thyroid nodules in a...

A general framework for governing marketed AI/ML medical devices.

This project represents the first systematic assessment of the US Food and Drug Administration's pos...

An Appraisal of the Quality of Development and Reporting of Predictive Models in Spine Surgery.

Study DesignLiterature review.ObjectiveThe Transparent Reporting of a multivariable prediction model...

Hierarchical Information-guided robotic grasp detection.

With the advancement of deep learning, robotic grasping has seen widespread application in fields, b...

Transparent reporting of generative artificial intelligence use in systematic reviews.

Learning double balancing representation for heterogeneous dose-response curve estimation.

Estimating the individuals' potential response to varying treatment doses is crucial for decision-ma...

Neuroimaging Characterization of Acute Traumatic Brain Injury with Focus on Frontline Clinicians: Recommendations from the 2024 National Institute of Neurological Disorders and Stroke Traumatic Brain Injury Classification and Nomenclature Initiative Imaging Working Group.

Neuroimaging screening and surveillance is one of the first frontline diagnostic tools leveraged in ...

Retrieval-augmented generation for answering Breast Imaging Reporting and Data System (BI-RADS)-related questions with large language models.

Developing a transparent reporting tool for AI-based diagnostic prediction models of disease and syndrome in Chinese medicine: a Delphi protocol.

INTRODUCTION: The application of artificial intelligence in diagnostic prediction models for disease...

Dual-Domain deep prior guided sparse-view CT reconstruction with multi-scale fusion attention.

Sparse-view CT reconstruction is a challenging ill-posed inverse problem, where insufficient project...

Interobserver agreement between artificial intelligence models in the thyroid imaging and reporting data system (TIRADS) assessment of thyroid nodules.

BACKGROUND: As ultrasound (US) is the most accurate tool for assessing the thyroid nodule (TN) risk ...

Multitask semantic change detection guided by spatiotemporal semantic interaction.

Semantic Change Detection (SCD) aims to accurately identify the change areas and their categories in...

The added value of artificial intelligence using Quantib Prostate for the detection of prostate cancer at multiparametric magnetic resonance imaging.

PURPOSE: Artificial intelligence (AI) has been proposed to assist radiologists in reporting multipar...