Author

F. Shamim

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Open access Oct 2026

Calibration, Uncertainty, and Data Efficiency of Deep Learning Chest Radiograph Classifiers Under Cross-Dataset Distribution Shift: A Multi-Dataset Benchmark

Purpose To evaluate the external transportability of source-derived probability calibration for chest radiograph deep learning classifiers under distribution shift and determine its dependence on sample size and disease prevalence. Materials and Methods This retrospective secondary computational analysis of public, de-...

F. Shamim, R. A. Hussain · medRxiv · 0 citations

Review Open access Sep 2026

Delayed Retention of Technical Surgical Skills Following Virtual, Augmented, and Mixed-Reality Simulation: A Systematic Review and Meta-analysis

Background: Extended-reality simulation is widely used for technical surgical training, yet immediate gains do not establish that skills persist once practice stops. Objective: To characterize delayed technical-skill outcomes after virtual, augmented, or mixed-reality training and estimate the comparative effect at the...

F. Shamim, R. A. Hussain · medRxiv · 0 citations