16 citations · 17 across the 3 of their papers we have counts for
3 papers
Beyond the Hype: Assessing the Performance, Trustworthiness, and Clinical Suitability of GPT3.5
Salmonn Talebi, Elizabeth Tong, Mohammad R. K. Mofrad
The use of large language models (LLMs) in healthcare is gaining popularity, but their practicality and safety in clinical settings have not been thoroughly assessed. In high-stake…
ProDyn0: Inferring calponin homology domain stretching behavior using graph neural networks
Ali Madani, Cyna Shirazinejad, Jia Rui Ong +2
Graph neural networks are a quickly emerging field for non-Euclidean data that leverage the inherent graphical structure to predict node, edge, and global-level properties of a sys…
Fast and accurate classification of echocardiograms using deep learning
Ali Madani, Ramy Arnaout, Mohammad Mofrad +1
Echocardiography is essential to modern cardiology. However, human interpretation limits high throughput analysis, limiting echocardiography from reaching its full clinical and res…