Work Force

Artificial intelligence in the diagnosis and management of refractive errors.

Refractive error is among the leading causes of visual impairment globally. The diagnosis and management of refractive error has traditionally relied on comprehensive eye examinations by eye care professionals, but access to these specialized services has remained limited in many areas of the world. Given this, artificial intelligence (AI) has shown immense potential in transforming the diagnosis ...

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, creating chronic stress that affects brain development and contributes to mental and behavioral health issues. This study analyzed data from the Adolescent Brain Cognitive Development℠ (ABCD) Study to examine the neurobiological mechanisms linking discrimination to mental and behavioral health outcomes. ...

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-based system has been developed to automatically i...

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. While researchers and clinicians have explored LLMs t...

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 across the membrane, and Na+/K+ ATPases facilitate the...

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 assessment. This study aimed to develop a Machine l...

The Influence of an AI-Driven Personalized Nutrition Program on the Human Gut Microbiome and Its Health Implications.

Personalized nutrition programs enhanced with artificial intelligence (AI)-based tools hold promising potential for the development of healthy and su...

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

INTRODUCTION/AIMS: The adoption of telemedicine is generally considered as advantageous for patients and physicians, but there is limited rigorous ass...

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 rehabilitation professionals leads to many patients ...

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 eye clinic at our institution. : Patient messages...

Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms.

Microorganisms are one of the most promising biomarkers for cancer, and the relationship between microorganisms and lung cancer occurrence and develop...

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 applications. However, the high hardware investment and ...

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

BACKGROUND: Patient portals bridge patient and provider communications but exacerbate physician and nursing burnout. Large language models (LLMs) can ...

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.) has been increasing. Artificial intelligence (AI...

Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children.

BACKGROUND: Child nutrition in Ethiopia is a significant concern, particularly for preschool-aged children. Children must have a varied diet to ensure...

Class balancing diversity multimodal ensemble for Alzheimer's disease diagnosis and early detection.

Alzheimer's disease (AD) poses significant global health challenges due to its increasing prevalence and associated societal costs. Early detection an...

Critical scenarios adversarial generation method for intelligent vehicles testing based on hierarchical reinforcement architecture.

The widespread deployment of intelligent vehicles necessitates comprehensive testing across diverse driving scenarios. A significant challenge is gene...

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 have shown great potential in the rehabilitation t...

AI Chatbots for Psychological Health for Health Professionals: Scoping Review.

BACKGROUND: Health professionals face significant psychological burdens including burnout, anxiety, and depression. These can negatively impact their ...