Mark R. Waddle

According to our database, Mark R. Waddle authored at least 5 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology.

Jason Holmes, Federico Mastroleo, Mariana Borras-Osorio, Srinivas Seetamsetty, Satomi Shiraishi, Mirek Fatyga, Judy C. Boughey, Cornelius A. Thiels, William G. Breen, Daniel J. Ma, Daniel K. Ebner, David M. Routman, Brady S. Laughlin, Carlos E. Vargas, Samir H. Patel, Sujay A. Vora, Nadia N. Laack, Andrew Y. K. Foong, Wei Liu, Mark R. Waddle

CoRR, May, 2026

2025

RadOnc-GPT: An Autonomous LLM Agent for Real-Time Patient Outcomes Labeling at Scale.

Jason Holmes, Yuexing Hao, Mariana Borras-Osorio, Federico Mastroleo, Santiago Romero-Brufau, Valentina Carducci, Katie M. Van Abel, David M. Routman, Andrew Y. K. Foong, Liv M. Muller, Satomi Shiraishi, Daniel K. Ebner, Daniel J. Ma, Sameer R. Keole, Samir H. Patel, Mirek Fatyga, Martin Bues, Brad J. Stish, Yolanda I Garces, Michelle A Neben Wittich, Robert L. Foote, Sujay A. Vora, Nadia N. Laack, Mark R. Waddle, Wei Liu

CoRR, September, 2025

Personalizing prostate cancer education for patients using an EHR-Integrated LLM agent.

Yuexing Hao, Jason Holmes, Mark R. Waddle, Brian J. Davis, Nathan Y. Yu, Kristin S. Vickers, Heather Preston, Drew Margolin, Corinna E. Löckenhoff, Aditya Vashistha, Saleh Kalantari, Marzyeh Ghassemi, Wei Liu

npj Digit. Medicine, 2025

2024

Outlining the Borders for LLM Applications in Patient Education: Developing an Expert-in-the-Loop LLM-Powered Chatbot for Prostate Cancer Patient Education.

Yuexing Hao, Jason Holmes, Mark R. Waddle, Nathan Yu, Kirstin Vickers, Heather Preston, Drew Margolin, Corinna E. Löckenhoff, Aditya Vashistha, Marzyeh Ghassemi, Saleh Kalantari, Wei Liu

CoRR, 2024

Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams.

Yuexing Hao, Jason M. Holmes, Jared Hobson, Alexandra Bennett, Daniel K. Ebner, David M. Routman, Satomi Shiraishi, Samir H. Patel, Nathan Y. Yu, Chris L. Hallemeier, Brooke E. Ball, Mark R. Waddle, Wei Liu

CoRR, 2024