Latest AI and machine learning research in surveys for healthcare professionals.
PURPOSE: Large language models (LLMs) are becoming increasingly popular in medicine and neurosurgery...
Background Multi-informant observational data obtained from parents and educators provide rich but c...
Large language models (LLMs) demonstrate expert-level performance in various medical scenarios, yet ...
Artificial intelligence (AI) has shown significant promise in chest radiography, where deep learning...
Artificial intelligence (AI) is becoming increasingly relevant to teacher education, yet evidence re...
Artificial intelligence (AI) is increasingly implemented in medical education, adding new opportunit...
OBJECTIVE: Large language models (LLMs) have been explored for clinical applications, yet their reli...
Accurate prediction of non-Newtonian nanofluid flow and heat transfer under melting heat conditions ...
BACKGROUND: Chatbots have recently emerged as an alternative approach for delivering cancer risk ass...
Background and Purpose: The rapid expansion of artificial intelligence in health care is reshaping c...
Oropharyngeal dysphagia (OD) is highly prevalent (35.6%-47.4%) in hospitalized older patients but cl...
BACKGROUND: Digital technologies - including computer-aided design and manufacturing systems, three-...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare. Current and future heal...
BACKGROUND: The potential influence of the initial child-dentist interaction on dental anxiety (DA) ...
The diagnostic image quality of positron emission tomography (PET) acquisitions strongly depends on ...
BACKGROUND: Alcohol use remains a major public health concern, and although preventive alcohol self-...
OBJECTIVES: Systematic literature reviews (SLRs) underpin life sciences research but are resource in...
OBJECTIVES: Electronic health record (EHR) data discontinuity, defined as receiving care outside of ...
BACKGROUND: Accurate assessment of caries depth on intraoral radiographs is crucial for determining ...
RATIONALE: After inadequate response to first-line biologic or targeted synthetic (b/ts) disease-mod...
Machine learning models built from national health surveys enable population-scale risk stratificati...