AIMC Topic: Retrospective Studies

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Development of the machine learning model that is highly validated and easily applicable to predict radiographic knee osteoarthritis progression.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Oct 1, 2024
Many models using the aid of artificial intelligence have been recently proposed to predict the progression of knee osteoarthritis. However, previous models have not been properly validated with an external data set or have reported poor predictive p...
Osteoarthritis, Knee Male Middle Aged Disease Progression Radiography Humans Machine Learning Retrospective Studies Female Aged
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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.
Humans Machine Learning Retrospective Studies Cardiomyopathy, Hypertrophic Tachycardia, Ventricular Magnetic Resonance Imaging, Cine Middle Aged Contrast Media Magnetic Resonance Imaging Predictive Value of Tests Female Adult Radiomics Male
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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...
Male Middle Aged Deep Learning Lung Neoplasms Preoperative Period Adenocarcinoma of Lung Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Prognosis
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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...
Humans Fractures, Compression Machine Learning Retrospective Studies Middle Aged Tomography, X-Ray Computed Diagnosis, Differential Female Spinal Neoplasms Aged Spinal Fractures Aged, 80 and over Adult Radiomics Male
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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 ...
Adult Lymphoma, Large B-Cell, Diffuse Male Middle Aged Cohort Studies ROC Curve Support Vector Machine Positron Emission Tomography Computed Tomography Retrospective Studies Female Aged Aged, 80 and over Humans Machine Learning Prognosis
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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 Female Deep Learning Ischemic Stroke Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Aged Aged, 80 and over Male Middle Aged
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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 Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Risk Assessment Patient Discharge Humans Neural Networks, Computer Machine Learning
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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.
Male Middle Aged Deep Learning Magnetic Resonance Imaging Humans Retrospective Studies Female Aged Cervical Vertebrae Spinal Stenosis Spondylosis
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Prediction of Lesion-Based Treatment Response after Two Cycles of Lu-177 Prostate Specific Membrane Antigen Treatment in Metastatic Castration-Resistant Prostate Cancer Using Machine Learning.

Urologia internationalis Sep 30, 2024
INTRODUCTION: Lutetium-177 (Lu-177) prostate-specific membrane antigen (PSMA) therapy is a radionuclide treatment that prolongs overall survival in metastatic castration-resistant prostate cancer (MCRPC). We aimed to predict lesion-based treatment re...
Antigens, Surface Gallium Radioisotopes Glutamate Carboxypeptidase II Lutetium Radiopharmaceuticals Neoplasm Metastasis Prostatic Neoplasms, Castration-Resistant Radioisotopes Male Middle Aged Treatment Outcome Positron Emission Tomography Computed Tomography Machine Learning Retrospective Studies Aged Aged, 80 and over Humans
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Deep learning segmentation model for quantification of infarct size in pigs with myocardial ischemia/reperfusion.

Basic research in cardiology Sep 30, 2024
Infarct size (IS) is the most robust end point for evaluating the success of preclinical studies on cardioprotection. The gold standard for IS quantification in ischemia/reperfusion (I/R) experiments is triphenyl tetrazolium chloride (TTC) staining, ...
Retrospective Studies Reproducibility of Results Animals Swine Myocardial Reperfusion Injury Deep Learning Disease Models, Animal Myocardium Myocardial Infarction
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