AIMC Topic: Cross-Sectional Studies
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Machine learning applications to classify and monitor medication adherence in patients with type 2 diabetes in Ethiopia.
Frontiers in endocrinology
Mar 20, 2025
BACKGROUND: Medication adherence plays a crucial role in determining the health outcomes of patients, particularly those with chronic conditions like type 2 diabetes. Despite its significance, there is limited evidence regarding the use of machine le...
Catenation between mHealth application advertisements and cardiovascular diseases: moderation of artificial intelligence (AI)-enabled internet of things, digital divide, and individual trust.
BMC public health
Mar 19, 2025
BACKGROUND: World Health Organization (WHO) identified noncommunicable diseases as the foremost risk to public health globally and the cause of approximately 80% of premature deaths. However, Cardiovascular diseases account for most of these prematur...
Using Deep Learning to Perform Automatic Quantitative Measurement of Masseter and Tongue Muscles in Persons With Dementia: Cross-Sectional Study.
JMIR aging
Mar 19, 2025
BACKGROUND: Sarcopenia (loss of muscle mass and strength) increases adverse outcomes risk and contributes to cognitive decline in older adults. Accurate methods to quantify muscle mass and predict adverse outcomes, particularly in older persons with ...
Performance of ChatGPT-4 on Taiwanese Traditional Chinese Medicine Licensing Examinations: Cross-Sectional Study.
JMIR medical education
Mar 19, 2025
BACKGROUND: The integration of artificial intelligence (AI), notably ChatGPT, into medical education, has shown promising results in various medical fields. Nevertheless, its efficacy in traditional Chinese medicine (TCM) examinations remains underst...
Chat GPT, Gemini or Meta AI: A comparison of AI platforms as a tool for answering higher-order questions in microbiology.
Journal of postgraduate medicine
Mar 19, 2025
INTRODUCTION: Artificial intelligence (AI) platforms have achieved a noteworthy role in various fields of medical sciences, ranging from medical education to clinical diagnostics and treatment. ChatGPT, Gemini, and Meta AI are some large language mod...
Machine learning for predicting metabolic-associated fatty liver disease including NHHR: a cross-sectional NHANES study.
PloS one
Mar 18, 2025
OBJECTIVE: Metabolic - associated fatty liver disease (MAFLD) is a common hepatic disorder with increasing prevalence, and early detection remains inadequately achieved. This study aims to explore the relationship between the non-high-density lipopro...
Using machine learning to predict depression among middle-aged and elderly population in China and conducting empirical analysis.
PloS one
Mar 18, 2025
OBJECTIVE: To develop a predictive model for evaluating depression among middle-aged and elderly individuals in China.
Presenting a prediction model for HELLP syndrome through data mining.
BMC medical informatics and decision making
Mar 17, 2025
BACKGROUND: The HELLP syndrome represents three complications: hemolysis, elevated liver enzymes, and low platelet count. Since the causes and pathogenesis of HELLP syndrome are not yet fully known and well understood, distinguishing it from other pr...
Defining lipedema's molecular hallmarks by multi-omics approach for disease prediction in women.
Metabolism: clinical and experimental
Mar 15, 2025
Lipedema is a chronic disease in females characterized by pathologic subcutaneous adipose tissue expansion and hitherto remains without druggable targets. In this observational study, we investigated the molecular hallmarks of lipedema using an unbia...
Association between muscle mass assessed by an artificial intelligence-based ultrasound imaging system and quality of life in patients with cancer-related malnutrition.
Nutrition (Burbank, Los Angeles County, Calif.)
Mar 12, 2025
INTRODUCTION: Emerging evidence suggests that diminished skeletal muscle mass is associated with lower health-related quality of life (HRQOL) in individuals with cancer. There are no studies that we know of in the literature that use ultrasound syste...
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