Brain tumor MRI classification models can achieve high aggregate accuracy, but reliable decision support also requires calibrated confidence estimates, transparent handling of uncertain cases, and careful evaluation under external data shift. This study presents SYNAPSE-X, a calibration-aware Vision Transformer framewo...
Sadaf Tabatabaee, M. Khasawneh· Neural computing & applicati...· 0 citations
Cardiovascular disease remains one of the leading causes of mortality worldwide, with early detection being crucial for improving patient outcomes. This study aims to develop and validate a machine learning-based prediction model for heart disease using electronic health records from a major hospital system in New Jers...
O. Osama, Daehan Won, M. Khasawneh et al.· IISE Annual Conference &...· 0 citations
Conformal coating optimization requires control of multiple application parameters to achieve target thickness and coverage uniformity, with spray atomization settings (atomization valve control) playing a crucial role in droplet formation and material deposition. Traditional manual tuning yields a low success rate...
Hemi Patel, Abdelrahman Farrag, Jaewoo Kim et al.· The International Journal of...· 0 citations
STS-Mort and STS-ED-to-ICU improved sensitivity for geriatric risk stratification, and may support early resource allocation and reduce undertriage, with performance influenced by variability in ICU admission practices.
Ambika Mukhi, Sreenath Chalil Madathil, Adam J. Singer et al.· Journal of Surgical Research· 0 citations
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