AIMC Topic: Middle Aged

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Development of learning-based predictive models for radiation-induced atrial fibrillation in non-small cell lung cancer patients by integrating patient-specific clinical, dosimetry, and diagnostic information.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 1, 2024
BACKGROUND AND PURPOSE: Radiotherapy (RT) in non-small cell lung cancer (NSCLC) can induce cardiac adverse events, including atrial fibrillation (AF), despite advanced RT. This study integrates patient-specific information to develop learning-based m...
Middle Aged Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung Machine Learning Female Aged Male Atrial Fibrillation Radiotherapy Dosage Chemoradiotherapy Radiation Injuries Humans
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Multi-instance learning for identifying high-risk subregions associated with synchronous distant metastasis in clear cell renal cell carcinoma.

Medical physics Oct 1, 2024
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is one of the most common histological subtypes of renal tumors.
Humans Machine Learning Tomography, X-Ray Computed Female Aged Carcinoma, Renal Cell Support Vector Machine Neoplasm Metastasis Kidney Neoplasms Risk Adult Male Middle Aged Image Processing, Computer-Assisted
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Machine learning and radiomics for ventricular tachyarrhythmia prediction in hypertrophic cardiomyopathy: insights from an MRI-based analysis.

Acta radiologica (Stockholm, Sweden : 1987) Oct 1, 2024
BACKGROUND: Myocardial fibrosis is often detected in patients with hypertrophic cardiomyopathy (HCM), which causes left ventricular (LV) dysfunction and tachyarrhythmias.
Tachycardia, Ventricular Magnetic Resonance Imaging, Cine Contrast Media Magnetic Resonance Imaging Humans Predictive Value of Tests Machine Learning Cardiomyopathy, Hypertrophic Retrospective Studies Radiomics Male Middle Aged Female Adult
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Preoperative markers for identifying CT ≤2 cm solid nodules of lung adenocarcinoma based on image deep learning.

Thoracic cancer Oct 1, 2024
BACKGROUND: The solid pattern is a highly malignant subtype of lung adenocarcinoma. In the current era of transitioning from lobectomy to sublobar resection for the surgical treatment of small lung cancers, preoperative identification of this subtype...
Adenocarcinoma of Lung Retrospective Studies Tomography, X-Ray Computed Female Aged Deep Learning Lung Neoplasms Preoperative Period Humans Male Prognosis Middle Aged
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Machine learning models based on CT radiomics features for distinguishing benign and malignant vertebral compression fractures in patients with malignant tumors.

Acta radiologica (Stockholm, Sweden : 1987) Oct 1, 2024
BACKGROUND: Radiomics has become an important tool for distinguishing benign and malignant vertebral compression fractures (VCFs). It is more clinically significant to concentrate on patients who have malignant tumors and differentiate between benign...
Adult Radiomics Male Middle Aged Spinal Fractures Fractures, Compression Diagnosis, Differential Spinal Neoplasms Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Machine Learning Retrospective Studies
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Machine-Learning Application for Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease Using Laboratory and Body Composition Indicators.

Archives of Iranian medicine Oct 1, 2024
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a significant global health burden without established curative therapies. Early detection and preventive strategies are crucial for effective MASLD management. T...
Prospective Studies Female Risk Factors Adult ROC Curve Logistic Models Body Mass Index Male Middle Aged Humans Machine Learning Algorithms Non-alcoholic Fatty Liver Disease Predictive Value of Tests Iran Area Under Curve Bayes Theorem Body Composition
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A machine learning approach in a monocentric cohort for predicting primary refractory disease in Diffuse Large B-cell lymphoma patients.

PloS one Oct 1, 2024
INTRODUCTION: Primary refractory disease affects 30-40% of patients diagnosed with DLBCL and is a significant challenge in disease management due to its poor prognosis. Predicting refractory status could greatly inform treatment strategies, enabling ...
Lymphoma, Large B-Cell, Diffuse ROC Curve Female Humans Support Vector Machine Aged Male Machine Learning Aged, 80 and over Positron Emission Tomography Computed Tomography Middle Aged Prognosis Adult Cohort Studies Retrospective Studies
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Deep Learning Classification of Ischemic Stroke Territory on Diffusion-Weighted MRI: Added Value of Augmenting the Input with Image Transformations.

Journal of imaging informatics in medicine Sep 30, 2024
Our primary aim with this study was to build a patient-level classifier for stroke territory in DWI using AI to facilitate fast triage of stroke to a dedicated stroke center. A retrospective collection of DWI images of 271 and 122 consecutive acute i...
Humans Retrospective Studies Middle Aged Deep Learning Ischemic Stroke Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Female Aged Aged, 80 and over Male
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Machine learning model outperforms the ACS Risk Calculator in predicting non-home discharge following primary total knee arthroplasty.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Sep 30, 2024
PURPOSE: Despite the increase in outpatient total knee arthroplasty (TKA) procedures, many patients are still discharged to non-home locations following index surgery. The ability to accurately predict non-home discharge (NHD) following TKAs has the ...
Arthroplasty, Replacement, Knee Machine Learning Male Retrospective Studies Middle Aged Humans Female Neural Networks, Computer Risk Assessment Aged Patient Discharge Aged, 80 and over
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Deep learning model for automated diagnosis of degenerative cervical spondylosis and altered spinal cord signal on MRI.

The spine journal : official journal of the North American Spine Society Sep 30, 2024
BACKGROUND CONTEXT: A deep learning (DL) model for degenerative cervical spondylosis on MRI could enhance reporting consistency and efficiency, addressing a significant global health issue.
Middle Aged Humans Deep Learning Spinal Stenosis Retrospective Studies Magnetic Resonance Imaging Spondylosis Cervical Vertebrae Female Aged Male
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