5 papers
Revalidation Beats Stateful Routing for Scientific Surrogates Under Distribution Shift
Harshil Lodhiya
Surrogate models are often chosen during development and then left in place as new measurements arrive. That practice becomes risky when noise, input support, or physical parameter…
Clinical Knowledge Graphs for Chest X-Ray Device Reasoning
Harshil Lodhiya
Chest radiographs are routinely used to verify the position of catheters, tubes, and other support devices. Existing image models often return labels or segmentations, while report…
ER-KANs: Efficient and Robust Kolmogorov-Arnold Networks for Data-Scarce Scientific Machine Learning
Harshil Lodhiya
The efficient-KAN literature---covering Chebyshev, wavelet, and radial-basis-function variants of the original Kolmogorov-Arnold Network---has been benchmarked almost entirely on c…
Agentic Governance and Adversarial Verification for Policy-Constrained LLM Healthcare Appeal Generation
Harshil Lodhiya, Alex McManus, Reese Walker
Claim denial management costs U.S. healthcare approximately $260 billion annually in administrative overhead. Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)…
Uncertainty-Aware Compositional Localization and Placement Assessment of Catheters and Tubes in Chest X-Rays
Harshil Lodhiya
Assessing catheter and tube placement on chest X-rays is safety-critical yet tedious and error-prone. Current deep learning methods either classify placement globally -- losing tra…