Work Force

Burnout Among Physicians Treating Patients with Multiple Sclerosis in the United States: A Podcast.

Physician burnout, a growing crisis in the healthcare system of the United States of America (USA), ...

The intelligent development and preservation of folk sports culture under artificial intelligence.

To promote the intelligent development and preservation of folk sports culture, this work proposes a...

SUMediPose: A 2D-3D pose estimation dataset.

Biomechanical movement analysis is crucial in medical and sports contexts, yet the technology remain...

Achieving GPT-4o level performance in astronomy with a specialized 8B-parameter large language model.

AstroSage-Llama-3.1-8B is a domain-specialized natural-language AI assistant tailored for research i...

Impact of turnaround time in radiology: The good, the bad, and the ugly.

Turnaround time (TAT) has evolved into a complex metric in the current era of diagnostic radiology. ...

Deep learning unlocks the true potential of organ donation after circulatory death with accurate prediction of time-to-death.

Increasing the number of organ donations after circulatory death (DCD) has been identified as one of...

Enhancing Accuracy of Operative Reports with Automated Artificial Intelligence Analysis of Surgical Video.

BACKGROUND: The creation of operative reports is a tedious documentation task that increases adminis...

Artificial intelligence in the diagnosis and management of refractive errors.

Refractive error is among the leading causes of visual impairment globally. The diagnosis and manage...

Perceived Racism, Brain Development, and Internalizing and Externalizing Symptoms: Findings From the ABCD Study.

OBJECTIVE: Racial discrimination drives health disparities among racial/ethnic minority youth, creat...

Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification.

To address the public health issue of renal failure and the global shortage of nephrologists, an AI-...

A proof-of-concept study for patient use of open notes with large language models.

OBJECTIVES: The use of large language models (LLMs) is growing for both clinicians and patients. Whi...

NA_mCNN: Classification of Sodium Transporters in Membrane Proteins by Integrating Multi-Window Deep Learning and ProtTrans for Their Therapeutic Potential.

Sodium transporters maintain cellular homeostasis by transporting ions, minerals, and nutrients acro...

Breaking point or turning point? Harnessing artificial intelligence to combat burnout.

Explainable machine learning for the assessment of donor grafts in liver transplantation.

BACKGROUND AND AIM: The shortage of liver grafts compared to recipients necessitates precise organ a...

A Quantitative Study of Factors Influencing Myasthenia Gravis Telehealth Examination Score.

INTRODUCTION/AIMS: The adoption of telemedicine is generally considered as advantageous for patients...

An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients.

Rehabilitation after a stroke is vital for regaining functional abilities. However, a shortage of re...

Triage of Patient Messages Sent to the Eye Clinic via the Electronic Medical Record: A Comparative Study on AI and Human Triage Performance.

: Assess the ability of ChatGPT-4 (GPT-4) to effectively triage patient messages sent to the general...

Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform.

The Hawkeye system was regarded as a successful and effective referee assistant in commercial applic...

Primary Care Providers Acceptance of Generative AI Responses to Patient Portal Messages.

BACKGROUND: Patient portals bridge patient and provider communications but exacerbate physician and ...

Artificial Intelligence and Qualitative Analysis of Emergency Department Telemental Health Care Implementation Survey.

: Implementation of telemental health care in emergency departments (EDs) in the United States (U.S....

Application effect of rehabilitation robots in rehabilitation of limb movement disorders based on neural network algorithms.

With the continuous advancement of computer technology and sensor technology, rehabilitation robots ...