KILAB

Chungnam National University Hospital

Questions that begin in the
operating room, carried into research.

Hyunjeong Ki, MD — Clinical Assistant Professor, Gastrointestinal Surgery. I operate on gastric cancer, hernia, and metabolic disease, then ask the same questions again in the laboratory and in the data.

PositionClinical Assistant Professor
DivisionGastrointestinal Surgery
ORCID0000-0001-6524-8232

Laboratory

Two axes, one question

GILAB

Gastrointestinal Laboratory

We test disease mechanism in surgical specimens and cell models, and trace what environmental agents leave behind in the digestive tract.

  • WETLAB
  • CELL
  • MICROPLASTICS
  • TRANSLATIONAL
SILAB

Surgical Intelligence & Data

We turn surgical video and clinical records into something computable, aiming at what can actually be used in the operating room.

  • SURGICAL AI
  • BIG DATA
  • CDR
  • LLM

Clinical Practice

What I operate on

  • 01Gastric cancerGastrectomy · Lymphadenectomy
  • 02HerniaInguinal · Abdominal wall
  • 03Metabolic surgeryBariatric
  • 04Peptic ulcerComplicated
  • 05Esophageal cancerEsophagus

Research Areas

Research

01

Surgical video analysis

Reading anatomy and operative flow out of laparoscopic and robotic video with computer vision.

Surgical video
02

Medical big data

Long-term trends in surgical outcome and practice, analyzed at national scale.

Claims · Cohort
03

GI translational research

Mechanism and environmental exposure in gastrointestinal disease, studied in specimens and experimental models.

Translational

Funded & Ongoing

Current projects

01

Smart voiding management

A non-contact optical sensor that measures urine output automatically and streams it to a hospital monitoring system. We run the clinical arm — prospective validation of device accuracy against a gravimetric reference in post-operative ward and ICU patients, and measurement of the nursing workload it removes.

Clinical PI · 2026–2027 · Innopolis Foundation
02

SAVE-GC

A nationwide multicenter platform for gastrectomy video: deep-learning removal of segments that can expose patient or staff identity, and ontology-based recognition of the 6 phases and 34 steps of minimally invasive gastrectomy — groundwork for a safely shareable surgical video dataset.

Participating investigator · Korean Gastric Cancer Association
03

Anatomical segmentation in TEP

Automatic segmentation of four structures a surgeon must not injure — inferior epigastric vessels, pubic bone, gonadal vessels, vas deferens — in totally extraperitoneal hernia repair, with diffusion-based synthetic augmentation and uncertainty estimation, validated on an external institution.

Co-corresponding · under review

Talks & Lectures

Talks

Click a title to open the slides · presented in Korean

Publications

Publications

Notes

Notes

Short pieces written alongside surgery and research will collect here.

The first one is in preparation.