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Leveraging AI and patient metadata to develop a novel risk score for skin cancer detection.
Scientific reports
Sep 6, 2024
Melanoma of the skin is the 17th most common cancer worldwide. Early detection of suspicious skin lesions (melanoma) can increase 5-year survival rates by 20%. The 7-point checklist (7PCL) has been extensively used to suggest urgent referrals for pat...
Artificial intelligence-assisted measurements of coronary computed tomography angiography parameters such as stenosis, flow reserve, and fat attenuation for predicting major adverse cardiac events in patients with coronary arterial disease.
Biomolecules & biomedicine
Sep 6, 2024
Advancements in artificial intelligence (AI) offer promising tools for improving diagnostic accuracy and patient outcomes in cardiovascular medicine. This study explores the potential of AI-assisted measurements in enhancing the prediction of major a...
Classification of Alzheimer disease using DenseNet-201 based on deep transfer learning technique.
PloS one
Sep 6, 2024
Alzheimer's disease (AD) is a brain illness that causes gradual memory loss. AD has no treatment and cannot be cured, so early detection is critical. Various AD diagnosis approaches are used in this regard, but Magnetic Resonance Imaging (MRI) provid...
Predictive modeling of lean body mass, appendicular lean mass, and appendicular skeletal muscle mass using machine learning techniques: A comprehensive analysis utilizing NHANES data and the Look AHEAD study.
PloS one
Sep 6, 2024
This study addresses the pressing need for improved methods to predict lean mass in adults, and in particular lean body mass (LBM), appendicular lean mass (ALM), and appendicular skeletal muscle mass (ASMM) for the early detection and management of s...
Use machine learning models to identify and assess risk factors for coronary artery disease.
PloS one
Sep 6, 2024
Accurate prediction of coronary artery disease (CAD) is crucial for enabling early clinical diagnosis and tailoring personalized treatment options. This study attempts to construct a machine learning (ML) model for predicting CAD risk and further elu...
Accelerated chemical shift encoded cardiovascular magnetic resonance imaging with use of a resolution enhancement network.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Sep 5, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) chemical shift encoding (CSE) enables myocardial fat imaging. We sought to develop a deep learning network (fast chemical shift encoding [FastCSE]) to accelerate CSE.
Male
Image Interpretation, Computer-Assisted
Reproducibility of Results
Humans
Adiposity
Aged
Middle Aged
Prospective Studies
Adipose Tissue
Magnetic Resonance Imaging, Cine
Young Adult
Case-Control Studies
Retrospective Studies
Predictive Value of Tests
Deep Learning
Adult
Myocardium
Female
Heart Diseases
Predicting Mortality in Sepsis-Associated Acute Respiratory Distress Syndrome: A Machine Learning Approach Using the MIMIC-III Database.
Journal of intensive care medicine
Sep 5, 2024
BackgroundTo develop and validate a mortality prediction model for patients with sepsis-associated Acute Respiratory Distress Syndrome (ARDS).MethodsThis retrospective cohort study included 2466 patients diagnosed with sepsis and ARDS within 24 h of ...
Prediction of cognitive impairment among Medicare beneficiaries using a machine learning approach.
Archives of gerontology and geriatrics
Sep 5, 2024
OBJECTIVE: Developing machine learning (ML) models to predict cognitive impairment among Medicare beneficiaries in the United States.
Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining.
Cell reports. Medicine
Sep 5, 2024
Reliably detecting potentially misleading patterns in automated diagnostic assistance systems, such as those powered by artificial intelligence (AI), is crucial for instilling user trust and ensuring reliability. Current techniques fall short in visu...
Data privacy-aware machine learning approach in pancreatic cancer diagnosis.
BMC medical informatics and decision making
Sep 5, 2024
PROBLEM: Pancreatic ductal adenocarcinoma (PDAC) is considered a highly lethal cancer due to its advanced stage diagnosis. The five-year survival rate after diagnosis is less than 10%. However, if diagnosed early, the five-year survival rate can reac...
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