Identifying and Reporting Dependent Adult abuse

Improving Foundation Model for Endoscopy Video Analysis via Representation Learning on Long Sequences.

Recent advancements in endoscopy video analysis have relied on the utilization of relatively short v...

Quality of reporting of studies on artificial intelligence in radiology: what is the current state of the field?

The Role of Large Language Models (LLMs) in Breast Imaging Today and in the Near Future.

This narrative review focuses on the integration of large language models (LLMs), such as GPT-4 and ...

Exploring Suitability of Low-Severity Rating Hospital Incident Reports for Machine Learning.

Electronic incident reporting is a key quality and a safety process for healthcare organizations tha...

Structural uncertainty estimation for medical image segmentation.

Precise segmentation and uncertainty estimation are crucial for error identification and correction ...

An LLM-based hybrid approach for enhanced automated essay scoring.

Automated Essay Scoring systems have traditionally relied on shallow lexical data, such as word freq...

Improved radiological diagnosis of osteoporotic vertebral fragility fractures following UK-wide interventions and re-audit-can this be maintained and translated into clinical practice?

UNLABELLED: To determine the potential economic, morbidity and mortality impact of improvements in r...

DGPrompt: Dual-guidance prompts generation for vision-language models.

Introducing learnable prompts into CLIP and fine-tuning them have demonstrated excellent performance...

Conversion of Mixed-Language Free-Text CT Reports of Pancreatic Cancer to National Comprehensive Cancer Network Structured Reporting Templates by Using GPT-4.

OBJECTIVE: To evaluate the feasibility of generative pre-trained transformer-4 (GPT-4) in generating...

Influence Enhanced Sparse Coordination Graphs for Multi-Agent Reinforcement Learning.

In contemporary Multi-Agent Reinforcement Learning (MARL), effectively enhancing the expressive capa...

Applying AI to Canada's Financial Intelligence System: Promises and Perils in Combatting Money Laundering and Terrorism Financing.

Money laundering (ML) and terrorist financing (TF) are pernicious global challenges. Estimates sugge...

DNA Molecular Computing with Weighted Signal Amplification for Cancer miRNA Biomarker Diagnostics.

The expression levels of microRNAs (miRNAs) are strongly linked to cancer progression, making them p...

Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.

Given radiology images, automatic radiology report generation aims to produce informative text that ...

Pseudotargeted metabolomics profiles potential damage-associated molecular patterns as machine learning predictors for acute pancreatitis.

Acute pancreatitis (AP) is a common gastrointestinal disease characterized by pancreatic cell damage...

Improving the usability of large emergency 911 data reporting systems: A machine learning case study using emergency incident descriptions.

INTRODUCTION: Emergency 9-1-1 incident data are recorded voluntarily within fire-department-specific...

Exploration and exploitation in continual learning.

Continual learning (CL) has received a surge of interest, particularly in parameter isolation approa...

Drug-Target Affinity Prediction Based on Topological Enhanced Graph Neural Networks.

Graph neural networks (GNNs) have achieved remarkable success in drug-target affinity (DTA) analysis...

CCA: Contrastive cluster assignment for supervised and semi-supervised medical image segmentation.

Transformers have shown great potential in vision tasks such as semantic segmentation. However, most...

Development of an external quality assurance (EQA) structure to evaluate the quality of genetic pathology reporting.

A standard for reporting genetic pathology results currently does not exist as a consensus. While ef...

Predictive power of artificial intelligence for malignant cerebral edema in stroke patients: a CT-based systematic review and meta-analysis of prevalence and diagnostic performance.

Malignant cerebral edema (MCE) is a severe complication of acute ischemic stroke, with high mortalit...

Formative Research for the Development and Implementation of a Smartphone Application to Report Breaches to the International Code of Marketing of Breast-Milk Substitutes in Mexico.

Almost 40 years after the adoption of the International Code of Marketing of Breast-Milk Substitutes...