William Kartsonis
Education:
B.S. New York University (2013)
M.S. New York University (2019)
Current Position:
5st Year MSTP
4st Year Medical Student
Advisor:
Dr. Apostolos Tassiopoulos
Graduate Program:
Biomedical Informatics
Research Interests:
My research focuses on applying artificial intelligence to vascular surgery, with a particular emphasis on abdominal aortic aneurysms. Primarily, I work on developing advanced segmentation models of the aorta to facilitate surgical planning and aid in the measurement of clinically relevant features, including radiomics and computational fluid dynamics metrics, which can then be integrated into predictive machine learning models of aneurysm growth, rupture, and postoperative outcomes. A major interest of mine is building integrated software systems that combine these tools into platforms that can ultimately guide surveillance and surgical planning in real-world practice.
In addition to my work in vascular disease, I have also been involved in hematology and oncology research, including transcriptomic analyses of hematopoietic cells, and I completed my master’s library thesis on the evolutionary biology of aging.
Publications:
- Kartsonis W, Pastena P, Hajagos J, de la Bastide C, Martinez C, Tassiopoulos A. Enhancing Aortic Aneurysm Surveillance: Transformer Natural Language Processing for Flagging and Measuring in Radiology Reports. Annals of Vascular Surgery. 2024
- Lu Kevin, Kartsonis W, Pastena P, Aljobeh A, Tassiopoulos A. Enhancing Aortic Aneurysm Surveillance: Transformer Natural Language Processing for Flagging and Measuring in Radiology Reports. Journal of Vascular Surgery. 2025
- Pastena P, Perera H, Martinino A, Kartsonis W, Giovinazzo F. Unraveling Biomarker Signatures in Triple Negative Breast Cancer: A Systematic Review for Targeted Approaches. International Journal of Molecular Sciences. 2024;25(5):2559.
- Raymond Mario Barry, Olivia Sacco, Amel Mameri, Martin Stojaspal, W. Kartsonis, et al. Rap1 regulates TIP60 function during fate transition between two-cell-like and pluripotent states. Genes & Development. 2022;36(5-6). doi:10.1101/gad.349039.121.
- C.J. Noldner, J. Bae, W. Kartsonis, et al. Pre-Radiation CT-Based Radiomic Features Predict Locoregional and Distant Failure in Locally Advanced Head and Neck Cancer. Int J Radiat Oncol Biol Phys. 2022;114(3):e296. doi:10.1016/j.ijrobp.2022.07.1330.
- Jaison Jain, James Kaan, Suraj Jain, Camilo Martinez, W. Kartsonis, et al. An LLM-Based Comparison of Ambient AI Scribes for Clinical Documentation. bioRxiv. Preprint. June 2025. doi:10.1101/2025.06.24.25330085.
Conference Posters/Presentations:
- Kartsonis W, Aljobeh A, Tassiopoulos A. Modeling Abdominal Aortic Aneurysm Growth: Exponential versus Linear Approaches. Poster presented at: Eastern Vascular Surgery Conference; September 2025; Nashville, TN.
- Kartsonis W, Li S, Tassiopoulos A. Preprocessing Pipelines for Abdominal Aortic Aneurysm Growth Prediction. Poster presented at: Eastern Vascular Surgery Conference; September 2025; Nashville, TN.
- Kartsonis W, Tassiopoulos A. Comprehensive Aortic Segmentation Including Calcification and Soft Plaque for Abdominal Aortic Aneurysms. Poster presented at: Eastern Vascular Surgery Conference; September 2025; Nashville, TN.
- Kartsonis W, Tassiopoulos A. NLP to Extract Quantitative Aneurysm Measurements from Radiology Reports. Poster presented at: AMIA Clinical Informatics Conference; May 2023; Chicago, IL.