Public Health & Policy

Work Force

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

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Systemic therapy informed self-help and paraprofessional training in a naturalistic setting: study protocol of a digital randomised trial.

BACKGROUND: Multiple studies have shown the efficacy of Systemic Psychotherapy (ST) approaches as a ...

AI-driven personalized nutrition: RAG-based digital health solution for obesity and type 2 diabetes.

Effective management of obesity and type 2 diabetes is a major global public health challenge that r...

Unsupervised Domain Adaptation With Synchronized Self-Training for Cross- Domain Motor Imagery Recognition.

Robust decoding performance is essential for the practical deployment of brain-computer interface (B...

MedFILIP: Medical Fine-Grained Language-Image Pre-Training.

Medical vision-language pretraining (VLP) that leverages naturally-paired medical image-report data ...

Robot-assisted gait training for individuals with severe acquired brain injury: a scoping review.

INTRODUCTION: Early out-of-bed mobilization is recommended for individuals with severe acquired brai...

Artificial intelligence guided imaging as a tool to fill gaps in health care delivery.

Deep vein thrombosis (DVT) causes significant morbidity/mortality and timely diagnosis often via ult...

Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence.

PURPOSE: Endometrial cancer (EC) is the most common gynecologic cancer in the United States with ris...

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 ...

AI and inclusion in simulation education and leadership: a global cross-sectional evaluation of diversity.

BACKGROUND: Simulation-based medical education (SBME) is a critical training tool in healthcare, sha...

Synthetic medical education in dermatology leveraging generative artificial intelligence.

The advent of large language models (LLMs) represents an enormous opportunity to revolutionize medic...

Effects of exoskeleton rehabilitation robot training on neuroplasticity and lower limb motor function in patients with stroke.

BACKGROUND: Lower limb exoskeleton rehabilitation robot is a new technology to improve the lower lim...

Transforming Military Healthcare Education and Training: AI Integration for Future Readiness.

INTRODUCTION: Artificial intelligence (AI) technologies have spread throughout the world and changed...

Role Exchange-Based Self-Training Semi-Supervision Framework for Complex Medical Image Segmentation.

Segmentation of complex medical images such as vascular network and pulmonary tracheal network requi...

Massive experimental quantification allows interpretable deep learning of protein aggregation.

Protein aggregation is a pathological hallmark of more than 50 human diseases and a major problem fo...

The data analysis of sports training by ID3 decision tree algorithm and deep learning.

In order to improve the accuracy and efficiency of sports training data analysis, this paper propose...

Enhanced Brain Functional Interaction Following BCI-Guided Supernumerary Robotic Finger Training Based on Sixth-Finger Motor Imagery.

Supernumerary robotic finger (SRF) has shown unique advantages in the field of motor augmentation an...

AI in Home Care-Evaluation of Large Language Models for Future Training of Informal Caregivers: Observational Comparative Case Study.

BACKGROUND: The aging population presents an accomplishment for society but also poses significant c...

The QDπ dataset, training data for drug-like molecules and biopolymer fragments and their interactions.

The development of universal machine learning potentials (MLP) for small organic and drug-like molec...

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