568 citations · 1.3k across the 79 of their papers we have counts for
18 papers · 1 filter
Coefficient of Variation Masking: A Volatility-Aware Strategy for EHR Foundation Models
Rajna Fani, Rafi Al Attrach, David Restrepo +3
Masked autoencoders (MAEs) are increasingly applied to electronic health records (EHR) for learning general-purpose representations that support diverse clinical tasks. However, ex…
Auditing Sex/Gender Disparities in Emergency Triage with LLM-based Paired Comparisons
Ariel Guerra-Adames, Marta Avalos-Fernandez, Océane Dorémus +3
We present a domain-agnostic paired-comparison approach that uses Large Language Models (LLMs) to quantify sex/gender-related asymmetries in documented clinical decision-making. Th…
Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts
Sebastián Andrés Cajas Ordóñez, Luis Fernando Torres Torres, Mackenzie J. Meni +6
Deploying deep neural networks on resource-constrained devices faces two critical challenges: maintaining accuracy under aggressive quantization while ensuring predictable inferenc…
Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types
Chi-Yu Chen, Rawan Abulibdeh, Arash Asgari +8
Artificial intelligence is revealing what medicine never intended to encode. Deep vision models, trained on chest X-rays, can now detect not only disease but also invisible traces…
Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI
Balagopal Unnikrishnan, Ariel Guerra Adames, Amin Adibi +10
While ethical arguments for fairness in healthcare AI are well-established, the economic and strategic value of inclusive design remains underexplored. This perspective introduces…
Uncertainty-Aware Generative Oversampling Using an Entropy-Guided Conditional Variational Autoencoder
Amirhossein Zare, Amirhessam Zare, Parmida Sadat Pezeshki +5
Class imbalance remains a major challenge in machine learning, especially for high-dimensional biomedical data where nonlinear manifold structures dominate. Traditional oversamplin…