ASUS Clinical AI Assistant
Translated frontline documentation needs into workflow mappings, prompt specifications, acceptance criteria, and test cases.
Project contribution · system deployed at VGHTPE
Contribution & source →Recruiter brief
Andrew Sheng-Han Huang, MD
NYCU — Doctor of Medicine
Current study: NTU — Smart MHI
Clinical AI collaboration, evaluation & implementation.
Medical graduate with experience translating clinical documentation needs into testable requirements, contributing to clinical AI evaluation, and explaining technical work to clinical audiences.
01 / Relevant experience
What I have contributed.
CLR-voyance
Co-author of a 2026 preprint on outcome-aware evaluation for inpatient clinical decision support.
arXiv preprint · clinical reasoning evaluation
Paper & contribution →Open-source CT Demonstration
Ran an existing open-source CT tool and demonstrated its output to faculty for discussion.
Demonstration only · not a validated diagnostic product
Open demo ↗Project background →Contribution descriptions are my own account. Case pages link to public sources and distinguish the system or study results from my individual role.
02 / Team fit
Where I can contribute.
Clinical AI implementation
Workflow discovery, requirements, clinician–engineer alignment, and acceptance testing.
Clinical AI evaluation
Rubric review, model-output assessment, and clinical-reasoning evaluation.
Medical AI product work
Translate clinical constraints into product decisions and small, testable prototypes.
Recent interests
Directions I’d like to explore.
Alongside the experience above, I’m interested in future work and conversations in these areas.
Surgical robotics development
Exploring how clinical needs can inform the development of surgical robotic systems.
Medical record software development
Interested in building medical record systems around the people who document, review, and use clinical information.
AI model development for healthcare
Interested in developing AI models for clinical use, alongside evaluation and integration into care workflows.
03 / Background
Full education & path →Clinical foundations.
Technical practice.
Clinical workflow translation · AI-output evaluation · Clinical–engineering communication
Talks, workshops & teaching →- Current · 2026NTU Smart MHI
- 2026Doctor of Medicine · NYCU
- 2025–2026Clinical AI project contribution & research
- 2024–2026Clinical training · VGHTPE
Start a conversation
Tell me about the team.
Share the role, the clinical or product problem, and the kind of contribution you have in mind. Availability and timing can be discussed directly.