François Grolleau

According to our database, François Grolleau authored at least 7 papers between 2020 and 2026.

Collaborative distances:

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

2026

Adoption and Use of LLMs at an Academic Medical Center.

Nigam H. Shah, Nerissa Ambers, Abby Pandya, Timothy Keyes, Juan M. Banda, Srikar Nallan, Carlene Lugtu, Artem A. Trotsyuk, Suhana Bedi, Alyssa Unell, Miguel Fuentes, François Grolleau, Sneha S. Jain, Jonathan H. Chen, Dev Dash, Danton Char, Aditya Sharma, Duncan McElfresh, Patrick Scully, Vishanthan Kumar, Connor O'Brien, Satchi Mouniswamy, Elvis Jones, Krishna Jasti, Gunavathi Mannika Lakshmanan, Sree Ram Akula, Varun Kumar Singh, Ramesh Rajmanickam, Sudhir Sinha, Vicky Zhou, Xu Wang, Bilal Mawji, Joshua Ge, Wencheng Li, Travis Lyons, Jarrod Helzer, Vikas Kakkar, Ramesh Powar, Darren Batara, Cheryl Cordova, William Frederick III, Olivia Tang, Phoebe Morgan, April S. Liang, Stephen P. Ma, Shivam Vedak, Dong-han Yao, Akshay Swaminathan, Mehr Kashyap, Brian Ng, Jamie Hellman, Nikesh Kotecha, Christopher Sharp, Gretchen Brown, Christian Lindmark, Anurang Revri, Michael A. Pfeffer

CoRR, February, 2026

2025

Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale Evaluation.

Wenyuan Chen, Fateme Nateghi Haredasht, Kameron C. Black, François Grolleau, Emily Alsentzer, Jonathan H. Chen, Stephen P. Ma

CoRR, September, 2025

MedFactEval and MedAgentBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries.

François Grolleau, Emily Alsentzer, Timothy Keyes, Philip Chung, Akshay Swaminathan, Asad Aali, Jason Hom, Tridu Huynh, Thomas Lew, April S. Liang, Weihan Chu, Natasha Z. Steele, Christina F. Lin, Jingkun Yang, Kameron C. Black, Stephen P. Ma, Fateme Nateghi Haredasht, Nigam H. Shah, Kevin Schulman, Jonathan H. Chen

CoRR, September, 2025

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks.

Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Michael Wornow, Juan M. Banda, Nikesh Kotecha, Timothy Keyes, Yifan Mai, Mert Oez, Hao Qiu, Shrey Jain, Leonardo Schettini, Mehr Kashyap, Jason Alan Fries, Akshay Swaminathan, Philip Chung, Fateme Nateghi, Asad Aali, Ashwin Nayak, Shivam Vedak, Sneha S. Jain, Birju S. Patel, Oluseyi Fayanju, Shreya J. Shah, Ethan Goh, Dong-han Yao, Brian Soetikno, Eduardo Pontes Reis, Sergios Gatidis, Vasu Divi, Robson Capasso, Rachna Saralkar, Chia-Chun Chiang, Jenelle A. Jindal, Tho Pham, Faraz Ghoddusi, Steven Lin, Albert S. Chiou, Christy Hong, Mohana Roy, Michael F. Gensheimer, Hinesh Patel, Kevin Schulman, Dev Dash, Danton Char, Lance Downing, François Grolleau, Kameron C. Black, Bethel Mieso, Aydin Zahedivash, Wen-Wai Yim, Harshita Sharma, Tony Lee, Hannah Kirsch, Jennifer Lee, Nerissa Ambers, Carlene Lugtu, Aditya Sharma, Bilal Mawji, Alex Alekseyev, Vicky Zhou, Vikas Kakkar, Jarrod Helzer, Anurang Revri, Yair Bannett, Roxana Daneshjou, Jonathan H. Chen, Emily Alsentzer, Keith E. Morse, Nirmal Ravi, Nima Aghaeepour, Vanessa Kennedy, Akshay Chaudhari, Thomas Wang, Sanmi Koyejo, Matthew P. Lungren, Eric Horvitz, Percy Liang, Mike Pfeffer, Nigam H. Shah

CoRR, May, 2025

Monitoring strategies for continuous evaluation of deployed clinical prediction models.

Grace Y. E. Kim, Conor K. Corbin, François Grolleau, Michael T. M. Baiocchi, Jonathan H. Chen

J. Biomed. Informatics, 2025

2024

Personalizing renal replacement therapy initiation in the intensive care unit: a reinforcement learning-based strategy with external validation on the AKIKI randomized controlled trials.

François Grolleau, François Petit, Stéphane Gaudry, Élise Diard, Jean-Pierre Quenot, Didier Dreyfuss, Viet-Thi Tran, Raphaël Porcher

J. Am. Medical Informatics Assoc., 2024

2020

Fold-stratified cross-validation for unbiased and privacy-preserving federated learning.

Romain Bey, Romain Goussault, François Grolleau, Mehdi Benchoufi, Raphaël Porcher

J. Am. Medical Informatics Assoc., 2020