AIMC Topic: Aged

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Machine learning quantification of Amyloid-β deposits in the temporal lobe of 131 brain bank cases.

Acta neuropathologica communications Aug 17, 2024
Accurate and scalable quantification of amyloid-β (Aβ) pathology is crucial for deeper disease phenotyping and furthering research in Alzheimer Disease (AD). This multidisciplinary study addresses the current limitations on neuropathology by leveragi...
Tissue Banks White Matter Plaque, Amyloid Temporal Lobe Female Aged Humans Middle Aged Aged, 80 and over Machine Learning Amyloid beta-Peptides Male Alzheimer Disease Gray Matter
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Machine learning models can define clinically relevant bone density subgroups based on patient-specific calibrated computed tomography scans in patients undergoing reverse shoulder arthroplasty.

Journal of shoulder and elbow surgery Aug 16, 2024
BACKGROUND: Reduced bone density is recognized as a predictor for potential complications in reverse shoulder arthroplasty (RSA). While humeral and glenoid planning based on preoperative computed tomography (CT) scans assist in implant selection and ...
Humerus Arthroplasty, Replacement, Shoulder Middle Aged Cadaver Calibration Shoulder Joint Aged Aged, 80 and over Male Bone Density Retrospective Studies Tomography, X-Ray Computed Female Humans Machine Learning
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Advancing Emergency Department Triage Prediction With Machine Learning to Optimize Triage for Abdominal Pain Surgery Patients.

Surgical innovation Aug 16, 2024
BACKGROUND: The development of emergency department (ED) triage systems remains challenging in accurately differentiating patients with acute abdominal pain (AAP) who are critical and urgent for surgery due to subjectivity and limitations. We use mac...
Emergency Service, Hospital Retrospective Studies Abdominal Pain Female Aged Humans Male Adult Machine Learning Middle Aged Logistic Models Triage
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Altered dynamic large-scale brain networks and combined machine learning in primary angle-closure glaucoma.

Neuroscience Aug 16, 2024
Primary angle-closure glaucoma (PACG) is a severe and irreversible blinding eye disease characterized by progressive retinal ganglion cell death. However, prior research has predominantly focused on static brain activity changes, neglecting the explo...
Humans Machine Learning Brain Female Aged Adult Nerve Net Glaucoma, Angle-Closure Male Middle Aged Support Vector Machine Magnetic Resonance Imaging
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Predicting tremor improvement after MRgFUS thalamotomy in essential tremor from preoperative spontaneous brain activity: A machine learning approach.

Science bulletin Aug 16, 2024
Magnetic resonance-guided focused ultrasound surgery (MRgFUS) thalamotomy is an emerging technique for medication-refractory essential tremor (ET), but with variable outcomes. This study used pattern regression analysis to identify brain signatures p...
Male Middle Aged Treatment Outcome Magnetic Resonance Imaging Brain Thalamus Humans Female Essential Tremor Machine Learning Aged
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Designing an effective semantic fluency test for early MCI diagnosis with machine learning.

Computers in biology and medicine Aug 16, 2024
Semantic fluency tests are one of the key tests used in batteries for the early detection of Mild Cognitive Impairment (MCI) as the impairment in speech and semantic memory are among the first symptoms, attracting the attention of a large number of s...
Aged Aged, 80 and over Male Cognitive Dysfunction Early Diagnosis Semantics Neuropsychological Tests Humans Machine Learning Female
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Prediction of sepsis mortality in ICU patients using machine learning methods.

BMC medical informatics and decision making Aug 16, 2024
PROBLEM: Sepsis, a life-threatening condition, accounts for the deaths of millions of people worldwide. Accurate prediction of sepsis outcomes is crucial for effective treatment and management. Previous studies have utilized machine learning for prog...
Female Aged Adult Male Machine Learning Prognosis Intensive Care Units Middle Aged Sepsis Humans
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Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques.

Scientific reports Aug 16, 2024
Intracranial vessel wall imaging (VWI), which requires both high spatial resolution and high signal-to-noise ratio (SNR), is an ideal candidate for deep learning (DL)-based image quality improvement. Conventional VWI (Conv-VWI, voxel size 0.51 × 0.51...
Female Aged Adult Male Humans Retrospective Studies Signal-To-Noise Ratio Middle Aged Plaque, Atherosclerotic Deep Learning Magnetic Resonance Imaging
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The application of blood flow sound contrastive learning to predict arteriovenous graft stenosis of patients with hemodialysis.

PloS one Aug 16, 2024
End-stage kidney disease (ESKD) presents a significant public health challenge, with hemodialysis (HD) remaining one of the most prevalent kidney replacement therapies. Ensuring the longevity and functionality of arteriovenous accesses is challenging...
Renal Dialysis Female Arteriovenous Shunt, Surgical Humans Kidney Failure, Chronic Aged Graft Occlusion, Vascular Neural Networks, Computer Constriction, Pathologic Male Machine Learning Sound Middle Aged
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Predictive Study of Machine Learning-Based Multiparametric MRI Radiomics Nomogram for Perineural Invasion in Rectal Cancer: A Pilot Study.

Journal of imaging informatics in medicine Aug 15, 2024
This study aimed to establish and validate the efficacy of a nomogram model, synthesized through the integration of multi-parametric magnetic resonance radiomics and clinical risk factors, for forecasting perineural invasion in rectal cancer. We retr...
Retrospective Studies Female Aged Adult Humans Machine Learning Nomograms Neoplasm Invasiveness Rectal Neoplasms Multiparametric Magnetic Resonance Imaging Radiomics Male Middle Aged Pilot Projects
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