AIMC Topic: Predictive Value of Tests
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Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care.
JACC. Cardiovascular imaging
Jul 19, 2023
Artificial intelligence (AI) promises to revolutionize many fields, but its clinical implementation in cardiovascular imaging is still rare despite increasing research. We sought to facilitate discussion across several fields and across the lifecycle...
Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective Study.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Jun 19, 2023
Phosphatase and tensin homolog (PTEN) loss is associated with adverse outcomes in prostate cancer and can be measured via immunohistochemistry. The purpose of the study was to establish the clinical application of an in-house developed artificial int...
Does the Presence of Missing Data Affect the Performance of the SORG Machine-learning Algorithm for Patients With Spinal Metastasis? Development of an Internet Application Algorithm.
Clinical orthopaedics and related research
Jun 12, 2023
BACKGROUND: The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA) was developed to predict the survival of patients with spinal metastasis. The algorithm was successfully tested in five international institutions using 1101 patie...
Deep learning-based prognostic model using non-enhanced cardiac cine MRI for outcome prediction in patients with heart failure.
European radiology
Jun 7, 2023
OBJECTIVES: To evaluate the performance of a deep learning-based multi-source model for survival prediction and risk stratification in patients with heart failure.
Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images.
Sensors (Basel, Switzerland)
Jun 7, 2023
Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of the back part of the eye. The condition has a great effect on the specificity of diagnosis, the monitoring of many physiological and pathological pro...
Deep learning-based screening tool for rotator cuff tears on shoulder radiography.
Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
May 24, 2023
BACKGROUND: Early diagnosis of rotator cuff tears is essential for appropriate and timely treatment. Although radiography is the most used technique in clinical practice, it is difficult to accurately rule out rotator cuff tears as an initial imaging...
Automation for Right Heart Analysis: The Start of a New Era.
JACC. Cardiovascular imaging
May 24, 2023
Deep Learning-Based Prediction of Right Ventricular Ejection Fraction Using 2D Echocardiograms.
JACC. Cardiovascular imaging
May 10, 2023
BACKGROUND: Evidence has shown the independent prognostic value of right ventricular (RV) function, even in patients with left-sided heart disease. The most widely used imaging technique to measure RV function is echocardiography; however, convention...
Machine-learning predictive model of pregnancy-induced hypertension in the first trimester.
Hypertension research : official journal of the Japanese Society of Hypertension
May 9, 2023
In the first trimester of pregnancy, accurately predicting the occurrence of pregnancy-induced hypertension (PIH) is important for both identifying high-risk women and adopting early intervention. In this study, we used four machine-learning models (...
High-Speed On-Site Deep Learning-Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard.
AJR. American journal of roentgenology
May 3, 2023
Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assessing the hemodynamic significance of coronary lesions. However, clinical implementation has progressed slowly, partly because of off-site data transfer...
Algorithms
Retrospective Studies
Humans
Coronary Angiography
Constriction, Pathologic
Coronary Artery Disease
Coronary Stenosis
Fractional Flow Reserve, Myocardial
Male
Reference Standards
Female
Deep Learning
Middle Aged
Computed Tomography Angiography
Predictive Value of Tests
Reproducibility of Results
Aged
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