Type
Healthcare
Country
South Korea
KR
Documents
151
through any edge
Papers
151
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Seoul National University Hospital on the authorship, newest first.
2026-07-02 · 5 authors here
Automated generation of structured breast ultrasound reports using BreastViT and ChatGPT
2026-06-11 · 11 authors here
Development and external validation of an explainable machine learning model for predicting chronic kidney disease progression in the Korean population
2026-06-10 · 5 authors here
Comparative evaluation of generative AI models for chest radiograph report generation in the emergency department
2026-06-02 · 12 authors here
A large-scale vision foundation model for musculoskeletal radiographs
2026-05-20 · 15 authors here
Human-in-the-Loop Large Language Model–Augmented Diagnostic Reasoning in Thoracic Imaging: Impact of Radiologic Expertise
2026-04-20 · 9 authors here
When evidence meets artificial intelligence
2026-04-17 · 13 authors here
Development and external validation of a machine learning model for predicting severe immediate postoperative complications in adults undergoing cardiac surgery
2026-04-08 · 4 authors here
From non-agentic large language models to multi-agent systems in emergency medicine: a scoping review
2026-04-03 · 4 authors here
Artificial intelligence in orthopedics: current applications, challenges, and future directions
2026-03-31 · 3 authors here
Structured taxonomy and framework for developing medical benchmark in large language models derived from scoping review
2026-03-28 · 7 authors here
Comparative performance of large language models in answering cornea and cataract surgery questions for resident training
2026-03-20 · 11 authors here
Diagnostic accuracy of an AI-based pathologic response assessment in locally advanced non-small cell lung cancer after neoadjuvant chemo-immunotherapy
2026-03-06 · 8 authors here
Enhancing Early Detection of Contralateral Breast Cancer in Breast Cancer Survivors Using AI-Assisted Mammography
2026-03-01 · 12 authors here
On the purpose of artificial intelligence in critical care medicine
2026-02-26 · 8 authors here
A novel hybrid segmentation method coupled with deep learning for coronary artery extraction from coronary CT angiography
2026-02-25 · 4 authors here
MedRep: medical concept representations for general electronic health record foundation models
2026-02-23 · 11 authors here
Nationwide 30-Day Surgical Outcomes in Korea: An Interim Analysis of the Korean Quality Improvement Platform in Surgery
2026-02-11 · 6 authors here
Commercially Available Artificial Intelligence Score on Preoperative Mammography for Prediction of Future Breast Cancer After DCIS Treatment
2026-02-10 · 6 authors here
Can ChatGPT effectively generate abstracts in orthopedic surgery? A comparative analysis between human-written and ChatGPT-generated scientific abstracts
2026-02-03 · 6 authors here
Comparison of large language models and conventional machine learning in postoperative outcome prediction: a retrospective, multi-national development and validation study
2026-01-14 · 14 authors here
AI-powered hierarchical classification of ampullary neoplasms: a deep learning approach using white-light and narrow-band imaging
2026-01-01 · 5 authors here
Comparison of Digital Mammography Plus Full ABUS Review and Digital Mammography Plus Selective ABUS Review Guided by ABUS Artificial Intelligence–Computer-Aided Diagnosis for Breast Cancer Screening
2026-01-01 · 1 authors here
What AI-CAD Detects—and Misses—in Real-World Breast Cancer Screening
2026-01-01 · 26 authors here
The IMPACT framework for evaluating generative AI in critical care: development and multinational consensus validation
2026-01-01 · 7 authors here
ChartOCR: A Longitudinal OCR System Using a Unified Periodontal Assessment Form.
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number