Latest AI and machine learning research in surveys for healthcare professionals.
BACKGROUND: The integration of artificial intelligence (AI) into healthcare, particularly in oncology, has attracted considerable attention in China. Understanding oncologists' views on AI is essential for developing effective integration strategies in oncology settings. This study aimed to evaluate AI knowledge, attitudes, perceptions, and willingness among nationwide oncologists in China. Additi...
The integration of AI in dental practice, primarily through AI-enabled software, influences clinical workflows by promoting rapid decision-making and potentially increasing bias stemming from its automation bias. While these systems demonstrate high accuracy in standardised evaluations, their real-world performance, particularly in atypical cases, remains less validated. This reliance on AI necess...
BACKGROUND: Early diagnosis of oral squamous cell carcinoma (OSCC) remains challenging, with survival largely stage-dependent at presentation. Artific...
Generative artificial intelligence (AI) is arriving in high-stakes assessment; however, governance, validity evidence, and faculty readiness remain un...
BACKGROUND: Health care leaders face a strategic dilemma: traditional expert-led content development ensures safety but is too slow for digital innova...
The proliferation of AI-Generated Content (AIGC) tools presents both opportunities and challenges for the academic service ecosystem. However, a syste...
As artificial intelligence-generated content (AIGC) becomes increasingly integrated into creative practices, its application in public art-particularl...
Human metapneumovirus (hMPV) is a serious global health threat because it causes human respiratory diseases in people of all ages. The complicated dyn...
Artificial intelligence (AI) writing assistants powered by large language models (LLMs) are increasingly used to make autocomplete suggestions to peop...
BackgroundIn healthcare applications and organizations, perceptions of patients or the public in research play an important role in accepting artifici...
Deep neural networks for medical image segmentation are often overconfident, compromising both reliability and clinical utility. In this work, we prop...
BACKGROUND: Stress is a key determinant of health outcomes and may influence work performance. Questionnaire-based assessments of stress are typically...
Process-based build-up/wash-off models underpin urban stormwater quality management, yet structural simplifications and environmental non-stationarity...
Machine learning and deep learning tools have been proposed to improve survival prediction in acute myeloid leukemia (AML), but comparative benchmarks...
BACKGROUND: Accurate estimation of low-density lipoprotein cholesterol (LDL-C) is essential for cardiovascular risk assessment and monitoring. Because...
UNLABELLED: Upper gastrointestinal endoscopy (UGIE) with duodenal biopsies remains the gold standard for diagnosing celiac disease (CD) in children an...
Accurate assessment of hand tremor is critical to help diagnose and monitor multiple neurological conditions. In routine practice, clinicians subjecti...
Computerized Adaptive Testing (CAT) offers an efficient and personalized method for assessing examinee proficiency by dynamically adjusting test quest...
OBJECTIVES: Driving under the influence of alcohol (DUI) remains a major contributor to fatal traffic crashes worldwide. With increasing regulatory pr...
BACKGROUND: In recent years, advances in wearable sensor technology and artificial intelligence (AI) have provided new possibilities for detecting and...