What's New

Last Posted: Mar 03, 2023

• 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
• Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction
  A Vaid et al, Comm Med, February 14, 2023
• Addressing disparities in pharmacogenomics through rural and underserved workforce education.
  Jacob T Brown et al. Frontiers in genetics 2023 131082985
• 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
• Therapeutic thoroughfares for adults living with Pompe disease.
  Schoser Benedikt et al. Current opinion in neurology 2022
• 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
• Importance of Echocardiography and Clinical "Red Flags" in Guiding Genetic Screening for Fabry Disease.
  Citro Rodolfo et al. Frontiers in cardiovascular medicine 2022 9838200
• Association of Lipoprotein (a) in Coronary Artery Disease in Young Individuals.
  Patted Aishwarya et al. The Journal of the Association of Physicians of India 2022 70(4) 11-12
• 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)
• Investigation of the Familial Risk of Rheumatic Heart Disease with Systematic Echocardiographic Screening: Data from the PROVAR+ Family Study.
  Franco Juliane et al. Pathogens (Basel, Switzerland) 2022 11(2)
• 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

More