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Genomics & Health Impact Scan Database|Search|PHGKB

Heart, Lung, Blood, and Sleep Disorders

Last data update: Feb 02, 2023. (Total: 52386 Documents since 2012)
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Records 1 - 12 (of 12 Records)

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Professional expectations and patient expectations concerning the development of Artificial Intelligence (AI) for the early diagnosis of Pulmonary Hypertension (PH).
Winter Peter et al. Journal of responsible technology 2022 12None
Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction.
Alabed Samer et al. Radiology 2022 212929
(De)troubling transparency: artificial intelligence (AI) for clinical applications.
Winter Peter David et al. Medical humanities 2022
Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements.
Alandejani Faisal et al. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance 2022 24(1) 25
Risk prediction in pulmonary hypertension due to chronic heart failure: incremental prognostic value of pulmonary hemodynamics.
Quan Ruilin et al. BMC cardiovascular disorders 2022 22(1) 56
Diagnostic test accuracy of artificial intelligence analysis of cross-sectional imaging in pulmonary hypertension: a systematic literature review.
Hardacre Conor Joseph et al. The British journal of radiology 2021 20210332
Evaluation of Effect of Curcumin on Psychological State of Patients with Pulmonary Hypertension by Magnetic Resonance Image under Deep Learning.
Ma Tingting et al. Contrast media & molecular imaging 2021 20219935754
Radiomics side experiments and DAFIT approach in identifying pulmonary hypertension using Cardiac MRI derived radiomics based machine learning models.
Priya Sarv et al. Scientific reports 2021 11(1) 12686
Radiomics Detection of Pulmonary Hypertension via Texture-Based Assessments of Cardiac MRI: A Machine-Learning Model Comparison-Cardiac MRI Radiomics in Pulmonary Hypertension.
Priya Sarv et al. Journal of clinical medicine 2021 10(9)
Machine learning for the diagnosis of pulmonary hypertension.
Zhu Fubao et al. Kardiologiia 2020 Jul 60(6) 953
Machine Learning and Deep Neural Network Applications in the Thorax: Pulmonary Embolism, Chronic Thromboembolic Pulmonary Hypertension, Aorta, and Chronic Obstructive Pulmonary Disease.
Remy-Jardin Martine et al. Journal of thoracic imaging 2020 Apr
A machine learning approach for the prediction of pulmonary hypertension.
Leha Andreas et al. PloS one 2019 14(10) e0224453
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