NTU Smart MHI
The current chapter: bringing clinical practice, smart healthcare, medical informatics, evaluation, governance, and implementation into one more systematic frame.
About & path
Andrew Sheng-Han Huang, MD
黃聖瀚
From Sabah to medicine. And beyond.
NYCU — Doctor of Medicine
Current study: NTU — Smart MHI
I grew up in Sabah, studied medicine in Taiwan, and started coding during medical school. Today, I bring those interests together at NTU Smart MHI.
NowNTU Smart MHIA current chapter connecting smart healthcare, medical informatics, clinical evaluation, and hospital implementation.
Most recent first
01
Education & experience
Medical training, building projects, and learning across languages have shaped how I approach clinical AI.
Clinical AI & research
Clinical workflow contribution to the ASUS Clinical AI Assistant, public prototypes, and co-authorship on the CLR-voyance clinical-reasoning preprint.
VGHTPE clinical training
Clerkship and subinternship at Taipei Veterans General Hospital—where the distance between an impressive AI demo and a workable clinical system became concrete.
NYCU School of Medicine
Six years of medical training at National Yang Ming Chiao Tung University. Coding began during medical school and gradually became a second way to investigate clinical problems.
NTNU Overseas Chinese Prep
A year of Mandarin and entrance preparation at National Taiwan Normal University’s Overseas Chinese Preparatory Programs.
Sabah, Malaysia
Grew up in Sabah, Borneo, then came to Taiwan as an overseas Chinese student. Moving between places and languages became an early education in listening before assuming.
Current direction
02
What Smart MHI is pulling together.
Five connected tracks carried forward from Andrew’s existing portfolio. These describe the direction of study and practice, not finished outcomes.
Recent interests
What I’m exploring next.
Areas I’m interested in exploring and developing further, alongside my existing clinical AI work.
A through-line
03
Translation is the actual practice.
Clinical, technical, educational, and cross-cultural translation are different versions of the same work: making what matters legible without stripping away its constraints.
From the ward
Notice the sequence, exceptions, risk, and information burden before proposing a tool.
Into a system
Turn needs into data fields, behaviors, acceptance checks, and an artifact people can inspect.
Across a room
Adapt the entry point for students, clinicians, engineers, and decision-makers.
Between contexts
Work across Mandarin Chinese, English, and Malay, with an instinct to ask what has been left implicit.
Beyond medicine
04
The wider practice matters.
Music, sport, debate, and a community of people who enjoy learning together.
Practice before performance
ABRSM Grade 8 by 14 and Trinity College London ATCL by 18. Music made iteration, interpretation, and composure under attention feel normal long before clinical training did.
Watch piano performance ↗AI Medicine Reading Community
A cross-regional learning community connecting clinicians, engineers, and medical students across Taiwan and the US West Coast.
Water polo
Physical grit, team trust, and continuing to make decisions while tired.
Chess
Pattern recognition, planning ahead, and getting comfortable learning from stronger players.
Debate & NTU SLC
Former vice president of a Chinese speech and debate club; later part of NTU College of Management’s Student Leadership Council.
Selected training
05
A broader foundation.
Self-reported records from Andrew’s existing portfolio, included as supporting context rather than the main evidence of the work.
Continue
Choose the part of the path you need.
Go to the work for case evidence, talks for communication and teaching, or the recruiter brief for a fast, forwardable summary.