AIMC Topic: Aged

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Deep Learning-Based Segmentation and Risk Stratification for Gastrointestinal Stromal Tumors in Transabdominal Ultrasound Imaging.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine May 31, 2024
PURPOSE: To develop a deep neural network system for the automatic segmentation and risk stratification prediction of gastrointestinal stromal tumors (GISTs).
Risk Assessment Deep Learning Ultrasonography Abdomen Young Adult Adult Male Middle Aged Gastrointestinal Neoplasms Gastrointestinal Stromal Tumors Humans Prospective Studies Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over
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Fully Automatic Quantitative Measurement of Equilibrium Radionuclide Angiocardiography Using a Convolutional Neural Network.

Clinical nuclear medicine May 31, 2024
PURPOSE: The aim of this study was to generate deep learning-based regions of interest (ROIs) from equilibrium radionuclide angiography datasets for left ventricular ejection fraction (LVEF) measurement.
Humans Neural Networks, Computer Female Middle Aged Angiocardiography Aged Male Deep Learning Gated Blood-Pool Imaging Stroke Volume Image Processing, Computer-Assisted Automation
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Deciphering the environmental chemical basis of muscle quality decline by interpretable machine learning models.

The American journal of clinical nutrition May 31, 2024
BACKGROUND: Sarcopenia is known as a decline in skeletal muscle quality and function that is associated with age. Sarcopenia is linked to diverse health problems, including endocrine-related diseases. Environmental chemicals (ECs), a broad class of c...
Female Aged Adult Male Humans Middle Aged Muscle, Skeletal Machine Learning Nutrition Surveys Environmental Pollutants Sarcopenia Environmental Exposure
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Development and Validation of a Machine Learning Model for Bone Metastasis in Prostate Cancer: Based on Inflammatory and Nutritional Indicators.

Urology May 31, 2024
OBJECTIVE: To establish a predictive model for prostate cancer bone metastasis utilizing multiple machine learning algorithms.
Machine Learning Retrospective Studies Aged Male Middle Aged Bone Neoplasms Decision Trees Prostatic Neoplasms Humans
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Deep learning-based magnetic resonance imaging analysis for chronic cerebral hypoperfusion risk.

Medical physics May 31, 2024
BACKGROUND: Chronic cerebral hypoperfusion (CCH) is a frequently encountered clinical condition that poses a diagnostic challenge due to its nonspecific symptoms.
Female Aged Adult Male Humans Retrospective Studies Magnetic Resonance Imaging Chronic Disease Cerebrovascular Disorders Middle Aged Cerebrovascular Circulation Deep Learning Image Processing, Computer-Assisted
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Development of a diagnostic support system for the fibrosis of nonalcoholic fatty liver disease using artificial intelligence and deep learning.

The Kaohsiung journal of medical sciences May 31, 2024
Liver fibrosis is a pathological condition characterized by the abnormal proliferation of liver tissue, subsequently able to progress to cirrhosis or possibly hepatocellular carcinoma. The development of artificial intelligence and deep learning have...
Liver Cirrhosis Liver Biopsy Non-alcoholic Fatty Liver Disease Humans Artificial Intelligence Adult Female Male Aged Middle Aged Deep Learning
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A Scalable Application of Artificial Intelligence-Driven Insulin Titration Program to Transform Type 2 Diabetes Management.

Diabetes technology & therapeutics May 31, 2024
Despite new pharmacotherapy, most patients with long-term type 2 diabetes are still hyperglycemic. This could have been solved by insulin with its unlimited potential efficacy, but its dynamic physiology demands frequent titrations which are overdem...
Humans Artificial Intelligence Female Aged Diabetes Mellitus, Type 2 Hypoglycemic Agents Glycated Hemoglobin Hypoglycemia Male Middle Aged Blood Glucose Insulin
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Predicting Chronic Pain and Treatment Outcomes Using Machine Learning Models Based on High-dimensional Clinical Data From a Large Retrospective Cohort.

Clinical therapeutics May 31, 2024
PURPOSE: To identify factors and indicators that affect chronic pain and pain relief, and to develop predictive models using machine learning.
Middle Aged Risk Factors Logistic Models Aged Treatment Outcome Pain Management Adult Humans Decision Trees Chronic Pain Male Machine Learning Retrospective Studies Female
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The utility of artificial intelligence in identifying radiological evidence of lung cancer and pulmonary tuberculosis in a high-burden tuberculosis setting.

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde May 31, 2024
BACKGROUND: Artificial intelligence (AI), using deep learning (DL) systems, can be utilised to detect radiological changes of various pulmonary diseases. Settings with a high burden of tuberculosis (TB) and people living with HIV can potentially bene...
Male Female Tuberculosis, Pulmonary Aged Middle Aged Humans Adult Lung Neoplasms Radiography, Thoracic Artificial Intelligence Sensitivity and Specificity Predictive Value of Tests Software
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Interpretable machine learning model for predicting acute kidney injury in critically ill patients.

BMC medical informatics and decision making May 31, 2024
BACKGROUND: This study aimed to create a method for promptly predicting acute kidney injury (AKI) in intensive care patients by applying interpretable, explainable artificial intelligence techniques.
Middle Aged Female Aged Adult Male Acute Kidney Injury Critical Illness Intensive Care Units Humans Machine Learning
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