Public Health & Policy

Work Force

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

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OphthUS-GPT: Multimodal AI for Automated Reporting in Ophthalmic B-Scan Ultrasound

The rapid advancement of AI in ophthalmology is transforming diagnostics, especially in resource-lim...

Interethnic Validation of Artificial Intelligence for prediction of Atrial Fibrillation Using Sinus Rhythm Electrocardiogram

Previous research has demonstrated acceptable diagnostic accuracy of AI-enabled sinus rhythm (SR) el...

Evaluating Enhanced LLMs for Precise Mental Health Diagnosis from Clinical Notes

Anxiety, depression, and other mental health conditions are affecting millions of people worldwide e...

Comprehensive Evaluation of Human Donor Liver Viability with Polarization-Sensitive Optical Coherence Tomography

Human liver transplantation is severely constrained by a critical shortage of donor livers, with app...

Deep Learning Analysis of Figure Copying Tasks for Parkinson’s Disease Detection with GAN-Based Data Augmentation

Early and accurate diagnosis of Parkinson’s disease (PD) is essential for enabling timely treatment ...

Development and Clinical Application of a Deep Learning-Based Endometrial Cancer Cytology Supporting Model

The global rise in endometrial cancer, including in Japan, and the shortage of pathologists and cyto...

A Randomized-Clinical Trial of Two Ambient Artificial Intelligence Scribes: Measuring Documentation Efficiency and Physician Burnout

Ambient artificial intelligence (AI) scribes record patient encounters and generate visit notes almo...

Not So Fast, I’m Serofast: Using Innovative Education Techniques to Drive Management of People with Syphilis

An increase in syphilis cases in the United States and the global shortage of Benzathine Penicillin ...

DermAssist: A Hybrid Vision Transformer System for Skin Lesion Diagnosis with Automated Alerting and Dual-Sided Portals

Skin cancer, one of the most prevalent forms of cancer globally, demands early and accurate diagnosi...

AI-literacy training enhances physician-LLM diagnostic collaboration in a resource-limited setting: a randomized controlled trial

Diagnostic errors remain a pervasive yet preventable source of patient harm, with resourcelimited he...

Personalized Synthetic Electrocardiograms with Outcomes

Synthetic data can be the solution to privacy requirements, can enrich datasets limited by underrepr...

Toward Digital Twins in the Intensive Care Unit: A Medication Management Case Study

To evaluate the efficacy of digital twins developed using a large language model (LLaMA-3), fine-tun...

Evaluating the Efficacy of Large Language Models in Addressing Patient-Centric Inquiries in Multiple Cancers

Large Language Models (LLMs) have transformed how patients access health information online. Chatbot...

The Effect of Image Resolution on the Performance of Deep Learning Algorithms in Detecting Calcaneus Fractures on X-Ray

To evaluate convolutional neural network (CNN) model training strategies that optimize the performan...

ECG classification with convolutional neural networks demonstrates resilience to sex-imbalances in data

Many ECG-AI models have been developed to predict a wide range of cardiovascular outcomes. The under...

Optimizing and Evaluating Robustness of AI for Brain Metastasis Detection and Segmentation via Loss Functions and Multi-dataset Training

Accurate detection and segmentation of brain metastases (BM) from MRI are critical for the appropria...

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