AIMC Topic: Cross-Sectional Studies
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Predicting dyslipidemia in Chinese elderly adults using dietary behaviours and machine learning algorithms.
Public health
Dec 19, 2024
OBJECTIVES: We aimed to predict dyslipidemia risk in elderly Chinese adults using machine learning and dietary analysis for public health.
Development and validation of a machine learning-based predictive model for compassion fatigue in Chinese nursing interns: a cross-sectional study utilizing latent profile analysis.
BMC medical education
Dec 19, 2024
BACKGROUND: Compassion fatigue is a significant issue in nursing, affecting both registered nurses and nursing students, potentially leading to burnout and reduced quality of care. During internships, compassion fatigue can shape nursing students' ca...
Knowledge is not all you need for comfort in use of AI in healthcare.
Public health
Dec 18, 2024
OBJECTIVES: The adoption of artificial intelligence (AI) in healthcare is rapidly expanding, transforming areas such as diagnostics, drug discovery, and patient monitoring. Despite these advances, public perceptions of AI in healthcare, particularly ...
Demographic factors, knowledge, attitude and perception and their association with nursing students' intention to use artificial intelligence (AI): a multicentre survey across 10 Arab countries.
BMC medical education
Dec 18, 2024
BACKGROUND: Artificial intelligence (AI) is becoming increasingly important in healthcare, with a significant impact on nursing practice. As future healthcare practitioners, nursing students must be prepared to incorporate AI technologies into their ...
Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters.
BMC anesthesiology
Dec 18, 2024
BACKGROUND: To protect patients during anesthesia, difficult airway management is a serious issue that needs to be carefully planned for and carried out. Machine learning prediction tools have recently become increasingly common in medicine, frequent...
Machine Learning-Based Model for Prediction of Post-Stroke Cognitive Impairment in Acute Ischemic Stroke: A Cross-Sectional Study.
Neurology India
Dec 17, 2024
BACKGROUND AND OBJECTIVE: Early identification of post-stroke cognitive impairment (PSCI) is an important challenge for clinicians. In this study, we aimed to build a machine learning-based prediction model for PSCI and uncover potential risk factors...
Standardized evaluation of diabetic retinopathy using artificial intelligence and its association with metabolic dysfunction-associated steatotic liver disease in Japan: A cross-sectional study.
PloS one
Dec 17, 2024
Metabolic dysfunction-associated steatotic liver disease (MASLD) is common in patients with obesity and diabetes and can lead to serious complications. This study aimed to evaluate fundus photographs using artificial intelligence to explore the relat...
Photography
Protective Factors
Cholinesterases
Male
Middle Aged
Glycated Hemoglobin
Humans
Female
Severity of Illness Index
Fundus Oculi
Diabetic Retinopathy
Risk Factors
Liver Cirrhosis
Non-alcoholic Fatty Liver Disease
Artificial Intelligence
Sensitivity and Specificity
Japan
Software
Cross-Sectional Studies
Image Interpretation, Computer-Assisted
Utility of Chatbot Literature Search in Radiation Oncology.
Journal of cancer education : the official journal of the American Association for Cancer Education
Dec 14, 2024
Artificial intelligence and natural language processing tools have shown promise in oncology by assisting with medical literature retrieval and providing patient support. The potential for these technologies to generate inaccurate yet seemingly corre...
ChatGPT and frequently asked patient questions for upper eyelid blepharoplasty surgery.
Orbit (Amsterdam, Netherlands)
Dec 13, 2024
PURPOSE: Online health information seekers may access information produced by artificial intelligence language models such as ChatGPT (OpenAI). The medical field may pose a significant challenge for incorporating these applications given the training...
Blood Biomarker Signatures for Slow Gait Speed in Older Adults: An Explainable Machine Learning Approach.
Brain, behavior, and immunity
Dec 12, 2024
Maintaining physical function is crucial for independent living in older adults, with gait speed being a key predictor of health outcomes. Blood biomarkers may potentially monitor older adults' mobility, yet their association with slow gait speed sti...
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