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Precision Health Database


Precision Health Database|Search|PHGKB

Heart, Lung, Blood and Sleep Disorders

Last data update: May 31, 2023. (Total: 60044 Documents since 2012)
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Development and validation of echocardiography-based machine-learning models to predict mortality.
Akshay Valsaraj et al. EBioMedicine 2023 90104479
Deep-Learning Models for Detection and Localization of Visible Clinically Significant Prostate Cancer on Multi-Parametric MRI.
Zhaonan Sun et al. Journal of magnetic resonance imaging : JMRI 2023
Automated MR Image Prescription of the Liver Using Deep Learning: Development, Evaluation, and Prospective Implementation.
Geng Ruiqi et al. Journal of magnetic resonance imaging : JMRI 2022
Value of Artificial Neural Network Ultrasound in Improving Breast Cancer Diagnosis.
Chai Qiaolian et al. Computational intelligence and neuroscience 2022 20221779337
Feasibility and Impact of Integrating an Artificial Intelligence-Based Diagnosis Aid for Autism Into the Extension for Community Health Outcomes Autism Primary Care Model: Protocol for a Prospective Observational Study.
Sohl Kristin et al. JMIR research protocols 2022 11(7) e37576
Machine Learning Based on MRI DWI Radiomics Features for Prognostic Prediction in Nasopharyngeal Carcinoma.
Hu Qiyi et al. Cancers 2022 14(13)
Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning.
Kang Ho et al. Journal of magnetic resonance imaging : JMRI 2022
Radiomic-Based MRI for Classification of Solitary Brain Metastases Subtypes From Primary Lymphoma of the Central Nervous System.
Zhao Lin-Mei et al. Journal of magnetic resonance imaging : JMRI 2022
Artificial Intelligence-Enabled Electrocardiography Predicts Left Ventricular Dysfunction and Future Cardiovascular Outcomes: A Retrospective Analysis.
Chen Hung-Yi et al. Journal of personalized medicine 2022 12(3)
Artificial Intelligence-Enabled Electrocardiogram Estimates Left Atrium Enlargement as a Predictor of Future Cardiovascular Disease.
Lou Yu-Sheng et al. Journal of personalized medicine 2022 12(2)
Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning.
Sundaresan Vaanathi et al. Frontiers in neuroinformatics 2022 15777828
MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma.
Liao Hai et al. Journal of magnetic resonance imaging : JMRI 2021
Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data.
A V Arjun Shenoy et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2021 20211702-1706
Predictive Value of Multiparametric MRI for Response to Single-Cycle Induction Chemo-Immunotherapy in Locally Advanced Head and Neck Squamous Cell Carcinoma.
Hellwig Konstantin et al. Frontiers in oncology 2021 11734872
Long-Time Prediction of Arrhythmic Cardiac Action Potentials Using Recurrent Neural Networks and Reservoir Computing.
Shahi Shahrokh et al. Frontiers in physiology 2021 12734178
Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes.
Farahani Nasibeh Zanjirani et al. Proceedings. IEEE International Conference on Bioinformatics and Biomedicine 2021 20201932-1937
Enhanced Detection of Heart Valve Disease Using Integrated Artificial Intelligence at Scale.
O'Hair Daniel P et al. The Annals of thoracic surgery 2021
Generalisability through local validation: overcoming barriers due to data disparity in healthcare.
Mitchell William Greig et al. BMC ophthalmology 2021 21(1) 228
Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibroblast Activation Protein Expression in Patients With Pancreatic Ductal Adenocarcinoma.
Meng Yinghao et al. Journal of magnetic resonance imaging : JMRI 2021
Voice-Controlled Intelligent Personal Assistants in Health Care: International Delphi Study.
Ermolina Alena et al. Journal of medical Internet research 2021 23(4) e25312
Automated thalamic nuclei segmentation using multi-planar cascaded convolutional neural networks.
Majdi Mohammad S et al. Magnetic resonance imaging 2020 Aug
AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size.
Ladefoged Claes Nøhr et al. NeuroImage 2020 Aug 117221
Diagnostic Accuracy of Quantitative Multi-Contrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement.
Chaudhari Akshay S et al. AJR. American journal of roentgenology 2020 Aug
Biventricular imaging markers to predict outcomes in non-compaction cardiomyopathy: a machine learning study.
Rocon Camila et al. ESC heart failure 2020 Jun
Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy.
Savenije Mark H F et al. Radiation oncology (London, England) 2020 May 15(1) 104
Development of novel machine learning model for right ventricular quantification on echocardiography-A multimodality validation study.
Beecy Ashley N et al. Echocardiography (Mount Kisco, N.Y.) 2020 May
Real-time automatic ejection fraction and foreshortening detection using deep learning.
Smistad Erik et al. IEEE transactions on ultrasonics, ferroelectrics, and frequency control 2020 Mar
Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size.
Narayana Ponnada A et al. Journal of magnetic resonance imaging : JMRI 2019 Oct
MoDL-MUSSELS: Model-Based Deep Learning for Multishot Sensitivity-Encoded Diffusion MRI.
Aggarwal Hemant K et al. IEEE transactions on medical imaging 2019 Oct
Feasibility of a voice-enabled automated platform for medical data collection: CardioCube.
Jadczyk Tomasz et al. International journal of medical informatics 2019 Jul 129388-393
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