AIMC Topic: Aged, 80 and over

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Prediction of molecular subclasses of uveal melanoma by deep learning using routine haematoxylin-eosin-stained tissue slides.

Histopathology Jul 1, 2024
AIMS: Uveal melanoma has a high propensity to metastasize. Prognosis is associated with specific driver mutations and copy number variations, and these can only be obtained after genetic testing. In this study we evaluated the efficacy of patient out...
RNA Splicing Factors Uveal Neoplasms Ubiquitin Thiolesterase Uveal Melanoma Eukaryotic Initiation Factor-1 Phosphoproteins Tumor Suppressor Proteins Eosine Yellowish-(YS) Hematoxylin Female Melanoma Aged Aged, 80 and over Adult Male Middle Aged Deep Learning Staining and Labeling Mutation Humans Prognosis Retrospective Studies
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Fully Automatic Deep Learning Model for Spine Refracture in Patients with OVCF: A Multi-Center Study.

Orthopaedic surgery Jul 1, 2024
BACKGROUND: The reaserch of artificial intelligence (AI) model for predicting spinal refracture is limited to bone mineral density, X-ray and some conventional laboratory indicators, which has its own limitations. Besides, it lacks specific indicator...
Spinal Fractures Fractures, Compression Recurrence Osteoporotic Fractures Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Male Middle Aged Deep Learning Imaging, Three-Dimensional
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Development and Validation of a Machine Learning Algorithm to Predict the Risk of Blood Transfusion after Total Hip Replacement in Patients with Femoral Neck Fractures: A Multicenter Retrospective Cohort Study.

Orthopaedic surgery Jul 1, 2024
OBJECTIVE: Total hip arthroplasty (THA) remains the primary treatment option for femoral neck fractures in elderly patients. This study aims to explore the risk factors associated with allogeneic blood transfusion after surgery and to develop a dynam...
Machine Learning Algorithms Retrospective Studies Female Risk Factors Humans Cohort Studies Blood Transfusion Femoral Neck Fractures Arthroplasty, Replacement, Hip Aged Aged, 80 and over Male Middle Aged Risk Assessment
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Deep learning analysis for differential diagnosis and risk classification of gastrointestinal tumors.

Scandinavian journal of gastroenterology Jul 1, 2024
OBJECTIVES: Recently, artificial intelligence (AI) has been applied to clinical diagnosis. Although AI has already been developed for gastrointestinal (GI) tract endoscopy, few studies have applied AI to endoscopic ultrasound (EUS) images. In this st...
Humans Deep Learning ROC Curve Sensitivity and Specificity Female Diagnosis, Differential Gastrointestinal Stromal Tumors Male Aged Gastrointestinal Neoplasms Middle Aged Aged, 80 and over Endosonography Risk Assessment Adult Diagnosis, Computer-Assisted
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Development of an Automated Free Flap Monitoring System Based on Artificial Intelligence.

JAMA network open Jul 1, 2024
IMPORTANCE: Meticulous postoperative flap monitoring is essential for preventing flap failure and achieving optimal results in free flap operations, for which physical examination has remained the criterion standard. Despite the high reliability of p...
Plastic Surgery Procedures Photography Free Tissue Flaps Humans Artificial Intelligence Female Reproducibility of Results Adult Aged Male Aged, 80 and over Middle Aged Young Adult Adolescent Monitoring, Physiologic
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A comparative analysis of deep learning and hybrid iterative reconstruction algorithms with contrast-enhancement-boost post-processing on the image quality of indirect computed tomography venography of the lower extremities.

BMC medical imaging Jul 1, 2024
PURPOSE: To examine whether there is a significant difference in image quality between the deep learning reconstruction (DLR [AiCE, Advanced Intelligent Clear-IQ Engine]) and hybrid iterative reconstruction (HIR [AIDR 3D, adaptive iterative dose redu...
Aged, 80 and over Adult Male Middle Aged Deep Learning Venous Thrombosis Contrast Media Lower Extremity Varicose Veins Radiographic Image Interpretation, Computer-Assisted Algorithms Popliteal Vein Radiation Dosage Retrospective Studies Vena Cava, Inferior Tomography, X-Ray Computed Computed Tomography Angiography Humans Female Radiographic Image Enhancement Aged Phlebography Femoral Vein
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Machine learning-based atrial fibrillation detection and onset prediction using QT-dynamicity.

Physiological measurement Jul 1, 2024
. This study examines the value of ventricular repolarization using QT dynamicity for two different types of atrial fibrillation (AF) prediction.. We studied the importance of QT-dynamicity (1) in the detection and (2) the onset prediction (i.e. fore...
Signal Processing, Computer-Assisted Atrial Fibrillation Aged, 80 and over Male Middle Aged Electrocardiography Decision Trees Humans Machine Learning Female Aged
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Deep Learning-Enabled Quantification of Tc-Pyrophosphate SPECT/CT for Cardiac Amyloidosis.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Jul 1, 2024
Transthyretin cardiac amyloidosis (ATTR CA) is increasingly recognized as a cause of heart failure in older patients, with Tc-pyrophosphate imaging frequently used to establish the diagnosis. Visual interpretation of SPECT images is the gold standard...
Humans Female Aged Amyloidosis Cardiomyopathies Single Photon Emission Computed Tomography Computed Tomography Amyloid Neuropathies, Familial Technetium Tc 99m Pyrophosphate Aged, 80 and over Male Middle Aged Deep Learning Image Processing, Computer-Assisted
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Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure.

International journal of medical informatics Jun 30, 2024
OBJECTIVES: This study aims to evaluate the fairness performance metrics of Machine Learning (ML) models to predict hospitalization and emergency department (ED) visits in heart failure patients receiving home healthcare. We analyze biases, assess pe...
Heart Failure Humans Home Care Services Machine Learning Emergency Room Visits Aged, 80 and over Female Male Hospitalization Middle Aged Aged Risk Assessment Emergency Service, Hospital
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Morphometric analysis and tortuosity typing of the large intestine segments on computed tomography colonography with artificial intelligence.

Colombia medica (Cali, Colombia) Jun 30, 2024
BACKGROUND: Morphological properties such as length and tortuosity of the large intestine segments play important roles, especially in interventional procedures like colonoscopy.
Middle Aged Female Humans Colon Aged Artificial Intelligence Imaging, Three-Dimensional Aged, 80 and over Algorithms Colon, Transverse Adult Retrospective Studies Colonography, Computed Tomographic Male
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