13 sites
Production clinical AI QA evidence base in the Sayvant preprint.
Research surface
This page is the public map of my current research work: clinical AI evaluation at Sayvant, a Stanford chest pain decision-support practicum, pediatric video laryngoscopy economics, and translational airway research around IntuBlade.
The common thread is practical validity. The work needs evidence, labels, workflow fit, and economic realism before it deserves trust.
13 sites
Production clinical AI QA evidence base in the Sayvant preprint.
1,089 iterations
Optimization loop tracked against physician complaints and regression checks.
2 preprints
2026 medRxiv outputs spanning documentation QA and airway procedural telemetry.
30 runs
Public IntuBlade manikin evidence-package audit for video-linked airway telemetry.
400+ agencies
IntuBlade field adoption informing translational airway research.
These are the active lanes described in the CV data, with completed outputs separated from work still in preparation.
Chest pain practicum
Stanford MCiM capstone / AIMI poster / AMIA 2026 podium abstract accepted
This work asks whether emergency chest pain decision support can be trained from the clinical conversation and physician-authored decision traces instead of only from downstream chart text.
Chest pain is a useful stress test for clinical AI because the danger is not a pretty note. The danger is false certainty around ACS risk, missing history, disposition, and what the physician actually knew at the bedside.
Sayvant evaluation work
medRxiv preprint, public benchmark artifact, and continuing methods work
The Sayvant research line is about evaluating clinical documentation AI in the setting where it can actually cause harm: signed charts, physician complaints, billing expectations, hallucination risk, and post-launch drift.
Fluent clinical text is cheap. Defensible documentation requires explicit scoring, source fidelity, dangerous-fabrication review, regression checks, and a loop that can turn physician complaints into product changes.
IntuBlade translational research
medRxiv preprint posted Jun 29, 2026 and translational protocol development
IntuBlade started as an access problem: make video laryngoscopy affordable enough to be present where airways actually happen. The active translational work extends that platform into video-linked telemetry, training, review, and procedural guidance.
Airway AI should not pretend to be autonomous. The credible path is connected video, event telemetry, computer vision observations, generated reports, and trainer-confirmed safety fields that keep the human accountable.
Pediatric video laryngoscopy CEA
Active manuscript and budget-impact appendix buildout
This manuscript lane treats device adoption as a clinical and economic question: when does pediatric video laryngoscopy create enough value to justify coverage, training, stocking, and replacement costs?
Pediatric airway equipment decisions are not made in a vacuum. A credible analysis has to connect device cost, first-pass success assumptions, adverse-event avoidance, training burden, and the buyer economics that determine whether video is actually available.
Preprints, benchmark artifacts, and presentations with enough public detail to inspect.
Posted Jun 29, 2026
medRxiv preprint
First-author preprint with Serge Klement and Ben Fedeles. The work audits a public post-reconciliation evidence package from 30 simulated airway runs using an IntuBlade device and iPhone workflow. The claim is intentionally bounded: video-linked structured JSON, QC status, app/model metadata, package hashes, and assigned-condition consistency for formative airway telemetry, not autonomous guidance, model accuracy, training effectiveness, clinical efficacy, or patient outcomes. DOI: 10.64898/2026.06.26.26356677.
Posted May 29, 2026
medRxiv preprint
First-author preprint with Justin Wiley and Mark Heslin. The work turns physician complaints from production AI documentation across 13 hospital sites into reproducible QA artifacts, driving 1,089 optimization iterations with zero regressions on resolved complaints. Evidence base: 42 tracked complaints, 282 binary checks, 166 deterministic repair rules, and 6/6 fabrication-class failures eliminated in ablation. DOI: 10.64898/2026.05.27.26353977v1.
AIMI poster Jun 3, 2026; AMIA abstract #15227 accepted
Stanford AIMI / AMIA 2026 / manuscript in preparation
Stanford MCiM capstone work with a public control repo, AIMI poster, and AMIA 2026 podium abstract #15227. The project pairs ambient patient signal with physician-authored decision traces so decision-support models are not trained only on downstream chart text. Manuscript and validation plan in preparation with Ashley Griffin and Mark Musen.
Presented May 5, 2026
HITLAB Spring Summit, Sayvant session
Sayvant session on acute-care AI rollouts, workflow ownership, clinician review, rollout friction, feedback loops, and product lessons from health-system deployment. Final title: Planning for the Future: Lessons Learned Partnering with Health Systems to Implement AI in Acute Care Delivery.
Released Jun 2026
Public benchmark and framework artifacts
Public clinical documentation benchmark and scoring framework for narrative quality, source fidelity, leak detection, dangerous fabrication, and rubric-based review of ambient scribe output.
This list mirrors the CV pipeline. It is intentionally conservative: private or unfinished work stays labeled as such until there is a preprint, abstract, manuscript, or public artifact.
The method lane is narrow on purpose: high-acuity clinical AI, documentation reliability, and airway systems where the cost of being wrong is real.
Talks and presentations that connect the research to clinical operations, implementation, and device work.
The formal CV language is below, followed by selected older clinical publications and book-length work.
American Journal of Emergency Medicine · 2021
Publication with Tony Zitek. PMID: 33632548.
Cureus · 2021
Case report on transient reactive phlebitis involving vancomycin infusion therapy. PMID: 34754636. DOI: 10.7759/cureus.18471.
Independently published · 2020
Compact emergency medicine ultrasound reference.
StatPearls · 2018-2019
Procedural reference chapters. PMIDs: 30252367 and 30725622.
Annals of Emergency Medicine abstract · 2019
ACEP abstract. DOI: 10.1016/j.annemergmed.2019.08.049.
EMpulse · 2020
Clinical case article for Florida College of Emergency Physicians.
The CV carries the official record for publications, patents, presentations, education, awards, and clinical roles. This page is the readable public map of the research work in motion.