Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
PURPOSE OF REVIEW: Consistent medication adherence is fundamental for achieving favorable health outcomes in diabetes care; however, attaining optimal adherence remains a challenge. This review summarized recent evidence on digital behavioral interventions designed to improve medication adherence in type 2 diabetes (T2D) and identified key components commonly incorporated in these interventions. R...
The rapid development of artificial intelligence (AI) technology has brought new opportunities and challenges to the ever-evolving field of medical education. However, the specific impact of AI on the teaching of diagnostic assessments to medical students requires further investigation. The purpose of this study was to evaluate the effectiveness of ChatGPT-assisted teaching of diagnoses. Eighty me...
Telemedicine is reshaping how early autism detection can be delivered, particularly in resource-limited settings. Yet, most existing tele-assessment t...
INTRODUCTION: As generative artificial intelligence (GenAI) chatbots increasingly mediate online health information seeking, this study aimed to asses...
OBJECTIVES: This scoping review aimed to map the available evidence on digital predictive technologies for fall risk assessment, prediction, and preve...
Orthodontic treatment is delivered in increasingly diverse clinical and digital environments, yet outcomes continue to depend on patients' understandi...
As the nerve center of power systems, power communication networks require risk assessment methods with lightweight architecture and high prediction a...
BACKGROUND: Prediabetes is highly prevalent and increasing globally, yet lifestyle interventions remain underused. AI-driven mobile health (mHealth) t...
Emerging evidence indicates that coagulation-related molecular programs are associated with thrombosis, tumor progression, and molecular dysregulation...
Cardiovascular diseases remain the leading cause of mortality and morbidity worldwide, with substantial impact in Italy. Cardiovascular prevention is ...
AIM: To compare the multidimensional performance of discharge instructions generated by generative AI (GPT-4) versus those created by clinical registe...
Endocervical gastric-type adenocarcinoma (GAS) is one of the most aggressive subtypes of cervical cancer and is frequently underdiagnosed due to morph...
Artificial intelligence (AI) has had an unprecedented impact on several aspects of the human condition and is increasingly being incorporated into res...
BACKGROUND: Sudden Unexpected Death in Epilepsy (SUDEP) is a leading cause of epilepsy-related mortality, yet remains under-communicated in clinical p...
This study introduces an Attention-Guided Deep Learning Framework for Real-Time Text Emotion Recognition for Individuals with Disabilities (AGDL-TERID...
A substantial body of research provides compelling evidence that tai ji quan, a mind-body exercise rooted in traditional Chinese medicine, is effectiv...
Laboratory medicine plays an important role in clinical decision-making. The timely notification of results requiring medical attention is therefore e...
BACKGROUND: 4-HNE is a lipid peroxidation product involved in oxidative stress, tumor microenvironment remodeling, and tumor progression. This study a...
Communication is a natural social behavior that influences reproduction and survival; consequently, central questions in neuroethology involve discove...
Iron dysregulation has emerged as a contributor to osteoarthritis (OA), yet the cell-communication mechanisms connecting iron-related genetic signals ...