71 citations · 85 across the 6 of their papers we have counts for
6 papers
Almanac Copilot: Towards Autonomous Electronic Health Record Navigation
Cyril Zakka, Joseph Cho, Gracia Fahed +9
Clinicians spend large amounts of time on clinical documentation, and inefficiencies impact quality of care and increase clinician burnout. Despite the promise of electronic medica…
A Generalist Model for Diverse Text-Guided Medical Image Synthesis
Joseph Cho, Mrudang Mathur, Cyril Zakka +15
Deep learning algorithms require extensive data to achieve robust performance. However, data availability is often restricted in the medical domain due to patient privacy concerns.…
A Generalizable Deep Learning System for Cardiac MRI
Rohan Shad, Cyril Zakka, Dhamanpreet Kaur +16
Cardiac MRI allows for a comprehensive assessment of myocardial structure, function and tissue characteristics. Here we describe a foundational vision system for cardiac MRI, capab…
Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction
Adil Dahlan, Cyril Zakka, Abhinav Kumar +4
Cardiovascular diseases stand as the primary global cause of mortality. Among the various imaging techniques available for visualising the heart and evaluating its function, echoca…
Simulating time to event prediction with spatiotemporal echocardiography deep learning
Rohan Shad, Nicolas Quach, Robyn Fong +8
Integrating methods for time-to-event prediction with diagnostic imaging modalities is of considerable interest, as accurate estimates of survival requires accounting for censoring…
Predicting post-operative right ventricular failure using video-based deep learning
Rohan Shad, Nicolas Quach, Robyn Fong +17
Non-invasive and cost effective in nature, the echocardiogram allows for a comprehensive assessment of the cardiac musculature and valves. Despite progressive improvements over the…