Latest AI and machine learning research in surveys for healthcare professionals.
INTRODUCTION: The Chronic Rhinosinusitis Control Test (CRCT) is a patient-reported outcome measure (PROM) written in English that is psychometrically validated to measure chronic rhinosinusitis control. Because the availability of translated PROMs is a driver of data equity-collection of data that is fair and generally representative-our objective was to create a library of translated, cross-cultu...
ObjectivesLipedema is a chronic disorder characterized by pain and disproportionate fat distribution, and its diagnosis is frequently overlooked. The aim of this study was to evaluate and compare the responses generated by contemporary artificial intelligence models-ChatGPT-5o, Gemini-3, and Perplexity AI-to structured clinical questions developed in accordance with the 2024 S2k Lipedema Guideline...
Artificial intelligence (AI) and machine learning (ML) have demonstrated strong diagnostic and prognostic performance across cardiovascular medicine. ...
This study evaluated whether embedding diagnostic expectations within prompts biases large language model (LLM) classification of left ventricular eje...
BACKGROUND: Interprofessional education (IPE) is vital for preparing pharmacy students for collaborative practice but is often constrained by logistic...
BACKGROUND: Body donor dissection is fundamental to medical education but often induces anxiety and emotional distress in students, potentially impact...
BACKGROUND: Snakebite envenoming (SBE) is a significant yet often overlooked public health crisis that primarily affects impoverished communities. Mob...
Given the diversity of human characteristics and experiences, personalization in nudges, messages, choice presentations, interventions, and overall pr...
PURPOSE: AI governance commonly emphasises procurement, validation, deployment and performance monitoring but lack guidance on how embedded AI tools s...
BACKGROUND: Artificial intelligence (AI) is gaining increasing significance in radiography. However, undergraduate radiography students often have lim...
BACKGROUND: Pulmonary edema is a life-threatening condition caused by fluid accumulation in the lungs that impairs gas exchange. Machine learning mode...
Deep learning-based medical image-to-mesh reconstruction has rapidly evolved, enabling the transformation of medical imaging data into three-dimension...
Career anxiety has become a significant issue in today's world, particularly in developing countries where job opportunities are scarce compared to th...
INTRODUCTION: Carrying out a systematic review (SR) of the literature entails a high workload and encompasses a variety of very different tasks. The e...
INTRODUCTION: The use of artificial intelligence (AI) in the scientific process is advancing at a remarkable speed, thanks to continued innovations in...
OBJECTIVE: The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance imaging (MRI) promises to enhance and support cli...
Early diagnosis of inborn errors of immunity (IEIs) can make a difference in patient outcomes and even cut healthcare costs. However, there are some c...
Standard operating procedures (SOPs) are foundational to quality assurance in ISO-accredited clinical laboratories, but manual SOP development is labo...
Noninvasive, precise breath analysis holds significant importance for the screening and monitoring of neonatal jaundice, with its core challenge lying...
BACKGROUND: Clinical medicine postgraduates are expected to attain competencies equivalent to senior resident physicians. However, ophthalmology gradu...