AIMC Topic: Aged
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Convolutional neural networks can detect orthostatic hypotension in Parkinson's disease using resting-state functional near-infrared spectroscopy data.
Journal of biophotonics
Jul 1, 2024
Neurological disorders such as Parkinson's disease (PD) often adversely affect the vascular system, leading to alterations in blood flow patterns. Functional near-infrared spectroscopy (fNIRS) is used to monitor hemodynamic changes via signal measure...
Application of Proteomics and Machine Learning Methods to Study the Pathogenesis of Diabetic Nephropathy and Screen Urinary Biomarkers.
Journal of proteome research
Jul 1, 2024
Diabetic nephropathy (DN) has become the main cause of end-stage renal disease worldwide, causing significant health problems. Early diagnosis of the disease is quite inadequate. To screen urine biomarkers of DN and explore its potential mechanism, t...
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...
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...
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...
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...
Diagnosing Solid Lesions in the Pancreas With Multimodal Artificial Intelligence: A Randomized Crossover Trial.
JAMA network open
Jul 1, 2024
IMPORTANCE: Diagnosing solid lesions in the pancreas via endoscopic ultrasonographic (EUS) images is challenging. Artificial intelligence (AI) has the potential to help with such diagnosis, but existing AI models focus solely on a single modality.
Fairness in Predicting Cancer Mortality Across Racial Subgroups.
JAMA network open
Jul 1, 2024
IMPORTANCE: Machine learning has potential to transform cancer care by helping clinicians prioritize patients for serious illness conversations. However, models need to be evaluated for unequal performance across racial groups (ie, racial bias) so th...
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
Aged, 80 and over
Adult
Male
Middle Aged
Deep Learning
Venous Thrombosis
Contrast Media
Humans
Lower Extremity
Radiographic Image Enhancement
Algorithms
Phlebography
Retrospective Studies
Radiographic Image Interpretation, Computer-Assisted
Femoral Vein
Tomography, X-Ray Computed
Radiation Dosage
Varicose Veins
Female
Vena Cava, Inferior
Popliteal Vein
Computed Tomography Angiography
Factors influencing psychological distress among breast cancer survivors using machine learning techniques.
Scientific reports
Jul 1, 2024
Breast cancer is the most commonly diagnosed cancer among women worldwide. Breast cancer patients experience significant distress relating to their diagnosis and treatment. Managing this distress is critical for improving the lifespan and quality of ...
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