AIMC Topic: Middle Aged

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Artificial intelligence-assisted metastasis and prognosis model for patients with nodular melanoma.

PloS one Aug 7, 2024
OBJECTIVE: The objective of this study was to identify the risk factors that influence metastasis and prognosis in patients with nodular melanoma (NM), as well as to develop and validate a prognostic model using artificial intelligence (AI) algorithm...
Retrospective Studies Logistic Models Aged Humans Artificial Intelligence Adult SEER Program Female Algorithms Male Neoplasm Metastasis Melanoma Prognosis Middle Aged Skin Neoplasms Risk Factors
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Phenotypes of Patients with Intracerebral Hemorrhage, Complications, and Outcomes.

Neurocritical care Aug 6, 2024
BACKGROUND: The objective of this study was to define clinically meaningful phenotypes of intracerebral hemorrhage (ICH) using machine learning.
Humans Machine Learning Phenotype Female Aged Seizures Male Middle Aged Outcome Assessment, Health Care Cerebral Hemorrhage Hematoma Glasgow Coma Scale
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Development and Validation of Prediction Models for Incident Reversible Cognitive Frailty Based on Social-Ecological Predictors Using Generalized Linear Mixed Model and Machine Learning Algorithms: A Prospective Cohort Study.

Journal of applied gerontology : the official journal of the Southern Gerontological Society Aug 6, 2024
This study aimed to develop and validate prediction models for incident reversible cognitive frailty (RCF) based on social-ecological predictors. Older adults aged ≥60 years from China Health and Retirement Longitudinal Study (CHARLS) 2011-2013 surve...
Prospective Studies Female Risk Factors Aged Aged, 80 and over Humans Machine Learning Algorithms Cognitive Dysfunction Longitudinal Studies Frailty Frail Elderly Linear Models Male Middle Aged Risk Assessment China
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Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images.

Medical & biological engineering & computing Aug 6, 2024
This work proposes a convolutional neural network (CNN) that utilizes different combinations of parametric images computed from cine cardiac magnetic resonance (CMR) images, to classify each slice for possible myocardial scar tissue presence. The CNN...
Magnetic Resonance Imaging, Cine Neural Networks, Computer Female Middle Aged Humans Aged Deep Learning Male ROC Curve Cicatrix Image Interpretation, Computer-Assisted
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Artificial intelligence prediction of In-Hospital mortality in patients with dementia: A multi-center study.

International journal of medical informatics Aug 6, 2024
BACKGROUND: Prediction of mortality is very important for care planning in hospitalized patients with dementia and artificial intelligence has the potential to serve as a solution; however, this issue remains unclear. Thus, this study was conducted t...
Female Hospitalization Aged Aged, 80 and over Male Middle Aged Dementia Hospital Mortality Humans Logistic Models Artificial Intelligence Algorithms Support Vector Machine Electronic Health Records
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Ensemble machine learning to predict futile recanalization after mechanical thrombectomy based on non-contrast CT imaging.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 6, 2024
OBJECTIVES: Despite successful recanalization after Mechanical Thrombectomy (MT), approximately 25 % of patients with Acute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) show unfavorable clinical outcomes, namely Futile Recanalization (FR...
Time Factors Treatment Outcome Predictive Value of Tests Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Humans Infarction, Middle Cerebral Artery Thrombectomy Machine Learning Medical Futility Decision Support Techniques Retrospective Studies Tomography, X-Ray Computed Aged Clinical Decision-Making Female Aged, 80 and over Risk Factors Male Middle Aged Risk Assessment
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Generative artificial intelligence versus clinicians: Who diagnoses multiple sclerosis faster and with greater accuracy?

Multiple sclerosis and related disorders Aug 6, 2024
BACKGROUND: Those receiving the diagnosis of multiple sclerosis (MS) over the next ten years will predominantly be part of Generation Z (Gen Z). Recent observations within our clinic suggest that younger people with MS utilize online generative artif...
Multiple Sclerosis Retrospective Studies Humans Female Middle Aged Artificial Intelligence Young Adult Adolescent Adult Time Factors Male Age Factors
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Derivation and external validation of mass spectrometry-based proteomic model using machine learning algorithms to predict plaque rupture in patients with acute coronary syndrome.

Clinica chimica acta; international journal of clinical chemistry Aug 6, 2024
BACKGROUND: A poor prognosis is associated with atherosclerotic plaque rupture (PR) despite after conventional therapy for patients with acute coronary syndrome (ACS). Timely identification of PR improves the risk stratification and prognosis of ACS ...
Cohort Studies Proteomics Mass Spectrometry Acute Coronary Syndrome Plaque, Atherosclerotic Biomarkers Female Aged Humans Male Machine Learning Middle Aged Algorithms
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Combined High-Throughput Proteomics and Random Forest Machine-Learning Approach Differentiates and Classifies Metabolic, Immune, Signaling and ECM Intra-Tumor Heterogeneity of Colorectal Cancer.

Cells Aug 6, 2024
Colorectal cancer (CRC) is a frequent, worldwide tumor described for its huge complexity, including inter-/intra-heterogeneity and tumor microenvironment (TME) variability. Intra-tumor heterogeneity and its connections with metabolic reprogramming an...
Male Middle Aged Proteomics Female Signal Transduction Random Forest Aged Humans Epithelial-Mesenchymal Transition Extracellular Matrix Machine Learning Colorectal Neoplasms Tumor Microenvironment
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Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts.

BMC public health Aug 6, 2024
BACKGROUND: The temporal relationships across cardiometabolic diseases (CMDs) were recently conceptualized as the cardiometabolic continuum (CMC), sequence of cardiovascular events that stem from gene-environmental interactions, unhealthy lifestyle i...
Male Cardiovascular Diseases Middle Aged Brazil Cohort Studies Machine Learning Female Aged Adult UK Biobank Longitudinal Studies Sex Factors United Kingdom Cardiometabolic Risk Factors Humans
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