Virtual Magnetic Resonance Elastography Using a Deep Generative Model for Liver Fibrosis Staging
The proposed Registration‐based Generative Adversarial Network‐Convolutional Block Attention Module (RegGAN‐CBAM) model efficiently and reliably generates virtual MR elastography using diffusion weighted imaging. Strong correlation between virtual and native MR elastography for liver stiffness and viscosity are observed.
Longyu Sun +9 more
wiley +1 more source
AI-Techniques Loss-Based Algorithm for Severity Classification (ATLAS): a novel approach for continuous quantification of exertional symptoms during incremental exercise testing. [PDF]
Hijleh AA +10 more
europepmc +1 more source
Opportunities, barriers, and remedies for implementing REDCap integration with electronic health records via Fast Healthcare Interoperability Resources (FHIR). [PDF]
Cheng AC +8 more
europepmc +1 more source
Comparing the effectiveness of a medication knowledge base product as designed with real-world hospital implementations using the Leapfrog Group's Computerized Physician Order Entry (CPOE/EHR) Evaluation Tool. [PDF]
Co Z +4 more
europepmc +1 more source
Listening to the note: clinician perspectives on ambient artificial intelligence scribes in medical documentation. [PDF]
Van Tiem J +9 more
europepmc +1 more source
Rapid Support and Implementation of an Application for the Prediction Augmented Screening Initiative (PASI) Planning Phase Through the Enabling Technologies for Rapid Learning Health Systems Platform (ENTHRALL) at the Department of Veterans Affairs (VA). [PDF]
Tosi HM +16 more
europepmc +1 more source
Attitudes Toward Common Data Models Among Chinese Biomedical Professionals: Cross-Sectional Survey.
Yu Y +7 more
europepmc +1 more source

