Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Performance of Artificial Intelligence in Skin Cancer Detection: An Umbrella Review of Systematic Reviews and Meta-Analyses.

Skin cancer has one of the highest incidence rates among malignancies. A shortage of clinical expert...

Artificial Intelligence in Microsurgical Education: A Systematic Review of its Role in Training Surgeons.

Background Microsurgery is associated with a steep learning curve that requires extensive training t...

Self-Supervised Hypergraph Training Framework via Structure-Aware Learning.

Hypergraphs, with their ability to model complex, beyond pair-wise correlations, presents a signific...

MS25: Materials Science-Focused Benchmark Data Set for Machine Learning Interatomic Potentials.

We present MS25, a benchmark data set for evaluating machine learning interatomic potentials (MLIPs)...

Gait training using powered robotic exoskeleton for a person with spinal cord injury: a case report.

INTRODUCTION: Robotic Exoskeleton-assisted gait training is an emerging approach in spinal cord inju...

Dissecting HealthBench: Disease Spectrum, Clinical Diversity, and Data Insights from Multi-Turn Clinical AI Evaluation Benchmark.

HealthBench is an open-source, large-scale benchmark consisting of 5,000 multi-turn clinical convers...

External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments.

PURPOSE: To externally validate our surgical skill assessment system, which provides comprehensive r...

Surface Hopping Nested Instances Training Set for Excited-state Learning.

Theoretical studies of molecular photochemistry and photophysics are essential for understanding fun...

Virtual patients, real conversations: ChatGPT advanced voice mode for pain communication training.

Across many healthcare disciplines, clinicians report feeling unprepared to treat and communicate e...

Automated radiotherapy treatment planning guided by GPT-4Vision.

. Radiotherapy treatment planning is a time-consuming and potentially subjective process that requir...

Development and validation of a deep learning image quality feedback system for infant fundus photography.

Retinopathy of prematurity (ROP) is a significant cause of childhood blindness. Many healthcare inst...

Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning.

Forensic pathology plays a vital role in determining the cause and manner of death through macroscop...

Evaluating the Usability, Technical Performance, and Accuracy of Artificial Intelligence Scribes for Primary Care: Competitive Analysis.

BACKGROUND: Primary care providers (PCPs) face significant burnout due to increasing administrative ...

Progressive Training for Learning From Label Proportions.

Learning from label proportions (LLPs), which aims to learn an instance-level classifier using propo...

Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies.

Trained immunity presents a unique target for modulating the immune response against infectious and ...

Deep learning framework based on ITOC optimization for coal spontaneous combustion temperature prediction: a coupled CNN-BiGRU-CBAM model.

Coal spontaneous combustion (CSC) poses a significant safety hazard in coal mines, requiring effecti...

AlphaBind, a domain-specific model to predict and optimize antibody-antigen binding affinity.

Antibodies are versatile therapeutic molecules that use combinatorial sequence diversity to cover a ...

DeepSecMS Advances DIA-Based Selenoproteome Profiling Through Cys-to-Sec Proxy Training.

Selenoproteins, defined as proteins containing the 21st amino acid, selenocysteine (Sec, U), are fun...

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