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5 results for "Parth Sheth"

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  1. Journal Article

    Neural architecture search for pneumonia diagnosis from chest X-rays

    Abhibha Gupta; Parth Sheth; Pengtao Xie

    Scientific Reports, Vol. 12 No. 1 · 2022 · English · DOAJ Scopus

    Abstract Pneumonia is one of the diseases that causes the most fatalities worldwide, especially in children. Recently, pneumonia-caused deaths have increased dramatically due to the novel Coronavirus global pandemic. Chest X-ray (CXR) images are one of the most readily available and common imaging…

  2. Journal Article Full text

    Which Decisions Live in the Provable Layer? Formally Verified Safety Constraints for Agentic Clinical AI, with a Whole-Person Longitudinal Benchmark

    Sanjay Basu; Parth Sheth; Bhairavi Muralidharan et al.

    AI, Vol. 7 No. 7 · 2026 · English · DOAJ Scopus

    Clinical artificial-intelligence systems are starting to act across a course of care, not to answer one question at a time. Their safety is checked by methods that sample the input space: a test suite tries some inputs, a language-model reviewer reads some cases, a physician panel audits some…

  3. Journal Article Full text

    Mechanistic interpretability of reinforcement learning in Medicaid care coordination

    Sanjay Basu; Sadiq Patel; Parth Sheth et al.

    BMJ Health & Care Informatics, Vol. 33 No. 1 · 2026 · English · DOAJ Scopus

    Objective To expose reasoning pathways of a reinforcement learning policy for Medicaid care coordination, develop an error taxonomy and implement fairness-aware guardrails.Design Retrospective interpretability audit using attention analysis, Shapley explanations, sparse autoencoder feature…

    Also available at: DOAJ

  4. Journal Article

    Transferring healthcare risk prediction models between Medicaid populations: a transfer learning evaluation

    Sanjay Basu; Sadiq Y. Patel; Parth Sheth et al.

    npj Health Systems, Vol. 3 No. 1 · 2026 · English · DOAJ Scopus

    Abstract Cross-state deployment of Medicaid risk prediction models is challenged by demographic, policy, and care-delivery differences that create domain shift. We evaluated transfer learning methods for predicting acute care utilisation between Washington (source; n = 20,744) and Virginia (target…