Kisung You

Education

Ph.D., Statistics, University of Notre Dame Notre Dame

M.S., Mathematics, Yonsei University Korea, Republic of

B.B.A., Business Administration, Yonsei University Korea, Republic of

B.Sc., Mathematics, Yonsei University Korea, Republic of

Abstracts

Dupont, J., Giuffrè, M., Zhong, J. Y., You, K. S., Laine, L., & Shung, D. (2024). <p>DEEP LEARNING TO CLASSIFY ENDOSCOPIC STIGMATA FOR PATIENTS WITH ACUTE UPPER GASTROINTESTINAL BLEEDING</p>. GASTROENTEROLOGY,

Zheng, N. S., Keloth, V. K., You, K. S., Li, D. K., Xu, H., Laine, L., & Shung, D. (2024). <p>IDENTIFYING OVERT SIGNS OF ACUTE GASTROINTESTINAL BLEEDING IN THE ELECTRONIC HEALTH RECORD WITH LARGE LANGUAGE MODELS</p>. GASTROENTEROLOGY,

Chung, S., Rajashekar, N., Pu, Y., Shin, Y. E., Giuffrè, M., Chan, C., You, K. S., Saarinen, T., Hsiao, A., Sekhon, J., Wong, A., Evans, L., McCall, T., Kizilcec, R. F., Laine, L., & Shung, D. (2024). <p>IMPACT OF ARTIFICIAL INTELLIGENCE SYSTEMS FOR UPPER GASTROINTESTINAL BLEEDING ON CLINICIAN TRUST AND LEARNING USING LARGE LANGUAGE MODELS: A RANDOMIZED PILOT SIMULATION STUDY</p>. GASTROENTEROLOGY,

Giuffre, M., You, K. S., Chung, S., Kresevic, S., Chan, C., Saarinen, T., Nakamura, S., Laine, L., Sung, J. J., Garcia-Tsao, G., Gralnek, I., Barkun, A. N., Sekhon, J., & Shung, D. (2024). <p>GUTGPT: NOVEL LARGE LANGUAGE MODEL PIPELINE OUTPERFORMS OTHER LARGE LANGUAGE MODELS IN ACCURACY AND SIMILARITY TO INTERNATIONAL EXPERTS FOR GUIDELINE RECOMMENDED MANAGEMENT OF PATIENTS WITH UPPER GASTROINTESTINAL BLEEDING</p>. GASTROENTEROLOGY,

Journal Articles

Park, J., & You, K. (2026). Geometric Medians on Product Manifolds. Journal of Multivariate Analysis, 215. 105653.

(2026). Antiplatelet Resumption Timing in Post-Percutaneous Coronary Intervention Gastrointestinal Bleeding.

(2026). Validation of a pan-ELastography Machine-learning (ELM) score to predict clinically significant portal hypertension in compensated advanced chronic liver disease. Journal of Hepatology,

(2026). Learning over von Mises-Fisher distributions via a Wasserstein-like geometry. STATISTICS AND COMPUTING,

(2025). Usability and adoption in a randomized trial of GutGPT a GenAI tool for gastrointestinal bleeding. NPJ DIGITAL MEDICINE,

(2025). Detection of Gastrointestinal Bleeding With Large Language Models to Aid Quality Improvement and Appropriate Reimbursement. GASTROENTEROLOGY,

(2025). Scalable geometric learning with correlation-based functional brain networks. SCIENTIFIC REPORTS,

(2025). Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology. NPJ DIGITAL MEDICINE,

(2025). On the Wasserstein Median of Probability Measures. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS,

(2024). Validation of an Electronic Health Record-Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding. Gastroenterology,

(2024). Systematic review: The use of large language models as medical chatbots in digestive diseases. Alimentary Pharmacology & Therapeutics, 60(2). 144-166.

(2024). Adoption of a Gastroenterology Hospitalist Model and the Impact on Inpatient Endoscopic Practice Volume: A Controlled Interrupted Time Series Analysis. iGIE, S2949708624000414.

(2024). Evaluating ChatGPT in Medical Contexts: The Imperative to Guard Against Hallucinations and Partial Accuracies. Clinical Gastroenterology and Hepatology, 22(5). 1145-1146.

(2024). Predicting response to non-selective beta-blockers with liver-spleen stiffness and heart rate in patients with liver cirrhosis and high-risk varices. Hepatology International,

(2024). Optimizing large language models in digestive disease: strategies and challenges to improve clinical outcomes. 44(9). 2114-2124.

(2024). Letter: Shifting focus-From ChatGPT to specialised medical LLMs: Authors' reply. Alimentary Pharmacology & Therapeutics, 60(3). 417-418.

(2024). Bayesian Optimal Two-Sample Tests for High-Dimensional Gaussian Populations. Bayesian Analysis,

(2023). Single-cell analysis reveals inflammatory interactions driving macular degeneration. Nature Communications, 14(1). 2589.

(2022). Parameter Estimation and Model-Based Clustering with Spherical Normal Distribution on the Unit Hypersphere. Computational Statistics & Data Analysis, 171. 107457.

(2022). Rdimtools: An R Package for Dimension Reduction and Intrinsic Dimension Estimation. Software Impacts, 14. 100414.

(2022). Learning Subspaces of Different Dimensions. Journal of Computational and Graphical Statistics, 31(2). 337--350.

(2022). Geometric learning of functional brain network on the correlation manifold. Scientific Reports, 12(1). 17752.

(2021). Re-visiting Riemannian geometry of symmetric positive definite matrices for the analysis of functional connectivity. NeuroImage, 225. 117464.

(2020). Data transforming augmentation for heteroscedastic models. Journal of Computational and Graphical Statistics,

(2019). Volume Change Pattern of Decompression of Mandibular Odontogenic Keratocyst. Maxillofacial Plastic and Reconstructive Surgery, 41(1). 2.

(2016). Vision-Based Detection of Loosened Bolts Using the Hough Transform and Support Vector Machines. Automation in Construction, 71. 181--188.

Conference Proceedings

Rajashekar, N. C., Shin, Y. E., Pu, Y., Chung, S., You, K., Giuffre, M., Chan, C. E., Saarinen, T., Hsiao, A., Sekhon, J., Wong, A. H., Evans, L. V., Kizilcec, R. F., Laine, L., Mccall, T., & Shung, D. (2024). Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System. Proceedings of the CHI Conference on Human Factors in Computing Systems.

Chan, C., You, K., Chung, S., Giuffre, M., Saarinen, T., Rajashekar, N., Pu, Y., Shin, Y., Laine, L., Wong, A., Evans, L., Hsiao, A., Kizilcec, R., Sekhon, J., & Shung, D. (2023). Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk. Machine Learning for Health (ML4H) Symposium.

You, K., & Shung, D. (2023). On the Spherical Laplace Distribution. 2023 26th International Conference on Information Fusion (FUSION).

Bao, D., You, K., & Lin, L. (2022). Network Distance Based on Laplacian Flows on Graphs. 2022 IEEE International Conference on Big Data (Big Data).

Presentations

You, K., & Yu, B. (2026, August 9). Shape-Preserving Dimensionality Reduction. Joint Statistical Meeting 2024.

You, K. On the Wasserstein Median of Probability Measures. Hunter College Mathematics Colloquium. Hunter College: Hunter College.

You, K., & Park, H. (2026, June 9). Scalable Machine Learning on Correlation Manifold of Brain Functional Connectivity. Organization for Human Brain Mapping.

College