AIMC Topic: Aged
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Machine learning model for early prediction of survival in gallbladder adenocarcinoma: A comparison study.
SLAS technology
Nov 9, 2024
The prognosis for gallbladder adenocarcinoma (GBAC), a highly malignant cancer, is not good. In order to facilitate individualized risk stratification and improve clinical decision-making, this study set out to create and validate a machine learning ...
Expression of Salivary miRNAs, Clinical, and Demographic Features in the Early Detection of Gastric Cancer: A Statistical and Machine Learning Analysis.
Journal of gastrointestinal cancer
Nov 9, 2024
OBJECTIVE: Gastric cancer ranks as one of the top five deadliest cancers worldwide and is often diagnosed at late stages. Analysis of saliva may provide a non-invasive approach for detection of malignancies in organs associated with the oral cavity. ...
Machine Learning Approaches for the Fusion of Near-Infrared, Mid-Infrared, and Raman Data to Identify Cartilage Degradation in Human Osteochondral Plugs.
Applied spectroscopy
Nov 8, 2024
Vibrational spectroscopy methods such as mid-infrared (MIR), near-infrared (NIR), and Raman spectroscopies have been shown to have great potential for in vivo biomedical applications, such as arthroscopic evaluation of joint injuries and degeneration...
Comparison of machine learning algorithms for automatic prediction of Alzheimer disease.
Journal of the Chinese Medical Association : JCMA
Nov 8, 2024
BACKGROUND: Alzheimer disease is a progressive neurological disorder marked by irreversible memory loss and cognitive decline. Traditional diagnostic tools, such as intracranial volume assessments, electroencephalography (EEG) signals, and brain magn...
Integrating radiomic and 3D autoencoder-based features for Non-Small Cell Lung Cancer survival analysis.
Computer methods and programs in biomedicine
Nov 8, 2024
BACKGROUND AND OBJECTIVES: The aim of this study is to develop a radiomic and deep learning-based signature for survival analysis of patients with Non-Small Cell Lung Cancer.
Measurement of ureteral length: Comparison of deep learning-based method and other estimation methods on CT and KUB.
Computers in biology and medicine
Nov 8, 2024
BACKGROUND: Accurate preoperative assessment of ureteral length is crucial for effective ureteral stenting.
Predicting frailty in older patients with chronic pain using explainable machine learning: A cross-sectional study.
Geriatric nursing (New York, N.Y.)
Nov 8, 2024
Frailty is common among older adults with chronic pain, and early identification is crucial in preventing adverse outcomes like falls, disability, and dementia. However, effective tools for identifying frailty in this population remain limited. This ...
Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography.
The international journal of cardiovascular imaging
Nov 8, 2024
PURPOSE: This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for invasive coronary angiography (ICA) in high-risk non-ST-elevation (NSTE) acute coronary syndrome (ACS) patients based ...
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Acute Coronary Syndrome
Computed Tomography Angiography
Risk Assessment
Non-ST Elevated Myocardial Infarction
Predictive Value of Tests
Double-Blind Method
Prospective Studies
Clinical Decision-Making
Female
Reproducibility of Results
Risk Factors
Aged
Male
Middle Aged
Humans
Artificial Intelligence
Decision Support Techniques
An Artificial Intelligence Approach for Test-Free Identification of Sarcopenia.
Journal of cachexia, sarcopenia and muscle
Nov 8, 2024
BACKGROUND: The diagnosis of sarcopenia relies extensively on human and equipment resources and requires individuals to personally visit medical institutions. The objective of this study was to develop a test-free, self-assessable approach to identif...
Artificial intelligence-enhanced infrared thermography as a diagnostic tool for thyroid malignancy detection.
Annals of medicine
Nov 8, 2024
INTRODUCTION: Thyroid nodules are common, and investigation is crucial for excluding malignancy. Increased intranodular vascularity is frequently observed in malignant tumors, which can be detected through increased skin surface temperatures using no...
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