AIMC Topic: Prospective Studies
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Diagnostic accuracy of artificial intelligence for identifying systolic and diastolic cardiac dysfunction in the emergency department.
The American journal of emergency medicine
Oct 15, 2024
INTRODUCTION: Cardiac point-of-care ultrasound (POCUS) can evaluate for systolic and diastolic dysfunction to inform care in the Emergency Department (ED). However, accurate assessment can be limited by user experience. Artificial intelligence (AI) h...
Artificial Intelligence-Driven Skin Aging Simulation as a Novel Skin Cancer Prevention.
Dermatology (Basel, Switzerland)
Oct 14, 2024
INTRODUCTION: Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a relevant public health concern due to rising incidence rates. Ultraviolet (UV) radiation poses a major risk factor for skin cancer. However, intentional ...
Real-World evaluation of an AI triaging system for chest X-rays: A prospective clinical study.
European journal of radiology
Oct 10, 2024
Chest X-rays (CXRs) are crucial for diagnosing and managing lung conditions. While CXR is a common and cost-effective diagnostic tool, interpreting the high volume of CXRs is challenging due to workforce limitations. Artificial intelligence (AI) offe...
Role of Artificial intelligence model in prediction of low back pain using T2 weighted MRI of Lumbar spine.
F1000Research
Oct 10, 2024
BACKGROUND: Low back pain (LBP), the primary cause of disability, is the most common musculoskeletal disorder globally and the primary cause of disability. Magnetic resonance imaging (MRI) studies are inconclusive and less sensitive for identifying a...
Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from images acquired in the SCLEROCAP study.
Microvascular research
Oct 9, 2024
OBJECTIVE: To evaluate the performance of machine learning and then deep learning to detect a systemic scleroderma (SSc) landscape from the same set of nailfold capillaroscopy (NC) images from the French prospective multicenter observational study SC...
Improving the diagnostic strategy for thyroid nodules: a combination of artificial intelligence-based computer-aided diagnosis system and shear wave elastography.
Endocrine
Oct 7, 2024
PURPOSE: Thyroid nodules are highly prevalent in the general population, posing a clinical challenge in accurately distinguishing between benign and malignant cases. This study aimed to investigate the diagnostic performance of different strategies, ...
Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.
The international journal of cardiovascular imaging
Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Coronary Vessels
Asymptomatic Diseases
Computed Tomography Angiography
Coronary Stenosis
Fractional Flow Reserve, Myocardial
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Running
Athletes
Humans
Artificial Intelligence
Prospective Studies
Reproducibility of Results
Aged
Male
Middle Aged
Severity of Illness Index
Predictive Value of Tests
Effect of childhood atropine treatment on adult choroidal thickness using sequential deep learning-enabled segmentation.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Oct 6, 2024
PURPOSE: To describe choroidal thickness measurements using a sequential deep learning segmentation in adults who received childhood atropine treatment for myopia control.
Comparison between statistical and machine learning methods to detect the hematological indices with the greatest influence on elevated serum levels of low-density lipoprotein cholesterol.
Chemistry and physics of lipids
Oct 5, 2024
INTRODUCTION: Elevated levels of low-density lipoprotein-cholesterol (LDL-C) is a significant risk factor for the development of cardiovascular diseases (CVD)s. Furthermore, studies have revealed an association between indices of the complete blood c...
Machine learning and statistical models to predict all-cause mortality in type 2 diabetes: Results from the UK Biobank study.
Diabetes & metabolic syndrome
Oct 5, 2024
AIMS: This study aims to compare the performance of contemporary machine learning models with statistical models in predicting all-cause mortality in patients with type 2 diabetes mellitus and to develop a user-friendly mortality risk prediction tool...
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