Clinical outcomes
Public records begin with transplant oncology and measurable clinical questions.
Research
A semantic chronology of published research
A source-led research record connecting operative experience, measured anatomy, intraoperative verification, Verifiable Surgery, and the Surgical Data Factory.
Research continuum
From outcomes to surgical systems.
The public evidence path from clinical outcomes to verifiable surgical systems.
- 01OutcomesClinical foundation
- 02AnatomyPlanning models
- 03PerceptionOperative scene
- 04NavigationGuided action
- 05SystemsData factory
01 · Evidence flow
How the research connects
- Transplant oncology outcomes / 간이식 종양학과 임상 결과
- Surgical knowledge & communication / 수술 지식과 의사소통
- Imaging & preoperative planning / 영상과 수술 전 계획
- Intraoperative perception & navigation / 수술 중 인지와 내비게이션
- Surgical Data Factory & Verifiable Surgery
Structured anatomy
Imaging work turns vascular, biliary, liver, and tumor anatomy into reusable planning data.
Intraoperative perception
Navigation and recognition studies test whether structured knowledge can enter the operative field.
Verification infrastructure
The Surgical Data Factory frames how operative data could become auditable surgical intelligence.
02 · Source ledger
Verified publications by year
Physical AI goes to the operating room: are we ready for the Surgical Data Factory?
Annals of Surgical Treatment and Research
Reframes the operating room as an environment that produces verifiable data for Surgical Physical AI.
Surgical AI infrastructure
AI-assisted intraoperative navigation for safe right liver mobilization in pure laparoscopic donor hepatectomy: an experimental multi-institutional validation study
Scientific Reports
Moves surgical AI from retrospective analysis to real intraoperative guidance and tests generalizability across institutions.
Intraoperative navigation
Large Language Model–Assisted Surgical Consent Forms in Non-English Language: Content Analysis and Readability Evaluation
Journal of Medical Internet Research
Connects language-model research to readability and preservation of clinical meaning in liver-resection consent forms.
Surgical communication & LLMs
3D auto-segmentation of biliary structure of living liver donors using magnetic resonance cholangiopancreatography for enhanced preoperative planning
International Journal of Surgery
Extends automated preoperative modeling to donor biliary anatomy, where variation directly affects surgical planning.
Biliary anatomy & donor planning
Comprehensive deep learning-based assessment of living liver donor CT angiography: from vascular segmentation to volumetric analysis
International Journal of Surgery
Connects donor vascular anatomy, automated segmentation, and volumetric analysis in a structured planning workflow.
Preoperative planning
Real-time segmentation of biliary structure in pure laparoscopic donor hepatectomy: an experimental study using deep learning for augmented surgery
Scientific Reports
Tests real-time biliary recognition and moves preoperative anatomical models into the operative scene.
Intraoperative perception
Automated 3D liver segmentation from hepatobiliary phase MRI for enhanced preoperative planning
Scientific Reports
Turns liver, tumor, vascular, and biliary anatomy into reusable three-dimensional planning information.
Imaging & preoperative planning
ChatGPT goes to the operating room: evaluating GPT-4 performance and its potential in surgical education and training in the era of large language models
Annals of Surgical Treatment and Research
Opens a complementary research axis on how language models may support surgical knowledge, education, and communication.
Surgical education & LLMs
Research that gives back · A community reflection →Improved recurrence-free survival in patients with HCC with post-transplant plasma exchange
Liver Transplantation
Establishes the clinical-outcomes foundation of the research trajectory through transplant oncology and recurrence risk.
Transplant oncology