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Identifying and Reporting Dependent Adult abuse

Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.

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An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation.

Effective inpatient bed management is critical for optimizing healthcare resource utilization and en...

Next app prediction based on graph neural networks and self-attention enhancement.

Next mobile app prediction aims to recommend the apps that users will most likely to use next based ...

Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency.

Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respir...

Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning.

This study aimed to develop and validate convolutional neural network (CNN) models for distinguishin...

Modernizing Risk Adjustment in Health Care: A Position Paper of the American College of Physicians.

Risk adjustment is a critical component of health care reimbursement aimed at ensuring fair compensa...

Recent topics on thyroid cytopathology: reporting systems and ancillary studies.

As fine-needle aspiration techniques and diagnostic methodologies for thyroid nodules have continued...

Improving radiology reporting accuracy: use of GPT-4 to reduce errors in reports.

PURPOSE: Radiology reports are essential for communicating imaging findings to guide diagnosis and t...

Progression and natural history of Atypical Parkinsonism (ATPARK): Protocol for a longitudinal follow-up study from an underrepresented population.

BACKGROUND: Atypical Parkinsonian Syndromes (APS) form the third largest group of neurodegenerative ...

Interventional Radiology Reporting Standards and Checklist for Artificial Intelligence Research Evaluation (iCARE).

As artificial intelligence (AI) becomes increasingly prevalent within interventional radiology (IR) ...

Applying language models for suicide prevention: evaluating news article adherence to WHO reporting guidelines.

The responsible reporting of suicide in media is crucial for public health, as irresponsible coverag...

Time-on-task and instructions help humans to keep up with AI: replication and extension of a comparison of creative performances.

A growing number of studies have compared human and AI creative performance. These studies differ in...

Emergency radiology: roadmap for radiology departments.

Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing uniq...

Q-GEM: Quantum Chemistry Knowledge Fusion Geometry-Enhanced Molecular Representation for Property Prediction.

Recently, various self-supervised learning (SSL) methods based on 3D graph neural networks (GNNs) ha...

It is Time to Realize the Promise of the Digital Mental Health Transformation: Application for Population Mental Health.

The past 25 years have seen the explosion of digital health care-from 1s and 0s initially serving mo...

Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives.

BACKGROUND: Large language models (LLMs) can support health care professionals in their daily work, ...

The Use of Artificial Intelligence in Residency Application Evaluation-A Scoping Review.

Several residency programs have begun investigating artificial intelligence (AI) methods to facilit...

Sparse deconvolution of cell type medleys in spatial transcriptomics.

Mapping cell distributions across spatial locations with whole-genome coverage is essential for unde...

Large Language Models and the Analyses of Adherence to Reporting Guidelines in Systematic Reviews and Overviews of Reviews (PRISMA 2020 and PRIOR).

In the context of Evidence-Based Practice (EBP), Systematic Reviews (SRs), Meta-Analyses (MAs) and o...

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