AIMC Topic: Aged, 80 and over

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Enabling Early Identification of Malignant Vertebral Compression Fractures Through 2.5D Convolutional Neural Network Model With CT Image Analysis.

Spine Dec 15, 2025
STUDY DESIGN: This study used a retrospective data analysis approach combined with model development and validation.
Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Aged, 80 and over Spinal Neoplasms Male Middle Aged Convolutional Neural Networks Spinal Fractures Fractures, Compression Osteoporotic Fractures
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Deep learning predicts microsatellite instability status in colorectal carcinoma in an ethnically heterogeneous population in South Africa.

Journal of clinical pathology Dec 15, 2025
BACKGROUND: Deep learning (DL) models are effective pre-screening tools for detecting mismatch repair deficiency (dMMR) in colorectal carcinoma (CRC). These models have been trained and validated on large cohorts from the Northern Hemisphere, without...
Male Middle Aged Deep Learning Predictive Value of Tests Microsatellite Instability DNA Mismatch Repair South Africa Aged Aged, 80 and over Adult Colorectal Neoplasms Humans Biomarkers, Tumor Female
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Deep Learning-Based Prediction of PET Amyloid Status Using MRI.

AJNR. American journal of neuroradiology Dec 4, 2025
BACKGROUND AND PURPOSE: Identifying amyloid-beta (Aβ)-positive patients is essential for Alzheimer disease clinical trials and disease-modifying treatments but currently requires PET or CSF sampling. Previous MRI-based deep learning models using only...
Alzheimer Disease Positron-Emission Tomography Retrospective Studies Female Aged Aged, 80 and over Sensitivity and Specificity Humans Male Middle Aged Deep Learning Magnetic Resonance Imaging Amyloid beta-Peptides
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Can CTA-Based Machine Learning Identify Patients for Whom Successful Endovascular Stroke Therapy Is Insufficient?

AJNR. American journal of neuroradiology Dec 4, 2025
BACKGROUND AND PURPOSE: Despite advances in endovascular stroke therapy (EST) devices and techniques, many patients are left with substantial disability, even if the final infarct volumes (FIVs) remain small. Here, we evaluate the performance of a ma...
Humans Machine Learning Computed Tomography Angiography Female Prospective Studies Treatment Outcome Aged Ischemic Stroke Cerebral Angiography Aged, 80 and over Registries Male Stroke Middle Aged Endovascular Procedures
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A machine learning-based prediction model for sepsis-associated delirium in intensive care unit patients with sepsis-associated acute kidney injury.

Renal failure Dec 1, 2025
Sepsis-associated acute kidney injury (SA-AKI) patients in the ICU often suffer from sepsis-associated delirium (SAD), which is linked to unfavorable outcomes. This research aimed to develop a machine learning-based model for early SAD prediction in ...
Female Reproducibility of Results Aged Aged, 80 and over Male Middle Aged Sepsis ROC Curve Logistic Models Decision Trees Machine Learning Databases, Factual Retrospective Studies Acute Kidney Injury Intensive Care Units Humans Predictive Learning Models Sepsis-Associated Encephalopathy Predictive Value of Tests Area Under Curve Bayes Theorem Delirium
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Human versus machine: deciding on high-stakes surgery in possible cauda equina syndrome.

The spine journal : official journal of the North American Spine Society Dec 1, 2025
BACKGROUND CONTEXT: Cauda equina syndrome (CES) is a spine surgical urgency requiring prompt intervention to prevent neurological deficits. Accurate identification of CES cases needing urgent surgery is essential to avoid long-term sequelae.
Male Middle Aged Adolescent Patient Care Team Cauda Equina Syndrome Female Aged Aged, 80 and over Young Adult Humans Adult Artificial Intelligence Retrospective Studies Clinical Decision-Making
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Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach.

Renal failure Dec 1, 2025
BACKGROUND: Little is known about acute kidney injury (AKI) and acute kidney disease (AKD) in patients with chronic obstructive pulmonary disease (COPD) and COPD mortality based on the acute/subacute renal injury. This study develops machine learning...
Risk Assessment Humans Incidence Creatinine Aged Machine Learning Aged, 80 and over Prognosis Pulmonary Disease, Chronic Obstructive Acute Kidney Injury Male Female Middle Aged Risk Factors
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Applying machine learning to predict bowel preparation adequacy in elderly patients for colonoscopy: development and validation of a web-based prediction tool.

Annals of medicine Dec 1, 2025
BACKGROUND: Adequate bowel preparation is crucial for effective colonoscopy, especially in elderly patients who face a high risk of inadequate preparation. This study develops and validates a machine learning model to predict bowel preparation adequa...
Logistic Models Support Vector Machine Internet Cathartics Aged, 80 and over Sensitivity and Specificity Male Colonoscopy Humans Machine Learning Algorithms Female Aged
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Utility of Thin-slice Single-shot T2-weighted MR Imaging with Deep Learning Reconstruction as a Protocol for Evaluating Pancreatic Cystic Lesions.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Nov 20, 2025
PURPOSE: To assess the effects of industry-developed deep learning reconstruction with super resolution (DLR-SR) on single-shot turbo spin-echo (SshTSE) images with thickness of 2 mm with DLR (SshTSE) relative to those of images with a thickness of 5...
Male Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Aged Aged, 80 and over Young Adult Adult Image Interpretation, Computer-Assisted Pancreas Signal-To-Noise Ratio Pancreatic Cyst Humans Retrospective Studies Female
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Stereotactic Radiation Therapy or Protons for Uveal Melanoma Patients? An Artificial Intelligence (AI)-Based Clinical Treatment Decision-Making Tool Predicting Doses To Radiation Therapy Constraints.

International journal of radiation oncology, biology, physics Nov 15, 2025
PURPOSE: For ocular melanoma, selecting between stereotactic radiation therapy (SRT) and protons requires a lengthy plan comparison process. The purpose of this brief report is to describe an artificial intelligence (AI) decision-making tool to predi...
Retrospective Studies Clinical Decision-Making Female Melanoma Aged Humans Artificial Intelligence Machine Learning Radiosurgery Radiation Injuries Proton Therapy Uveal Neoplasms Uveal Melanoma Aged, 80 and over Adult Male Middle Aged Radiotherapy Dosage
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