Jenelle A. Jindal

According to our database, Jenelle A. Jindal authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

2025

First, do NOHARM: towards clinically safe large language models.

David Wu, Fateme Nateghi Haredasht, Saloni Kumar Maharaj, Priyank Jain, Jessica Tran, Matthew Gwiazdon, Arjun Rustagi, Jenelle A. Jindal, Jacob M. Koshy, Vinay Kadiyala, Anup Agarwal, Bassman Tappuni, Brianna French, Sirus Jesudasen, Christopher V. Cosgriff, Rebanta Chakraborty, Jillian Caldwell, Susan Ziolkowski, David J. Iberri, Robert Diep, Rahul S. Dalal, Kira L. Newman, Kristin Galetta, J. Carl Pallais, Nancy Wei, Kathleen M. Buchheit, David I. Hong, Ernest Y. Lee, Allen Shih, Vartan Pahalyants, Tamara B. Kaplan, Vishnu Ravi, Sarita Khemani, April S. Liang, Daniel Shirvani, Advait Patil, Nicholas Marshall, Kanav Chopra, Joel Koh, Adi Badhwar, Liam G. McCoy, David J. H. Wu, Yingjie Weng, Sumant Ranji, Kevin Schulman, Nigam H. Shah, Jason Hom, Arnold Milstein, Adam Rodman, Jonathan H. Chen, Ethan Goh

CoRR, December, 2025

Clinician-Directed Large Language Model Software Generation for Therapeutic Interventions in Physical Rehabilitation.

Edward Kim, Yuri Cho, Jose Eduardo E. Lima, Julie Muccini, Jenelle A. Jindal, Alison Scheid, Erik Nelson, Seong Hyun Park, Yuchen Zeng, Alton Sturgis, Caesar Li, Jackie Dai, Sun Min Kim, Yash Prakash, Liwen Sun, Isabella Hu, Hongxuan Wu, Daniel He, Wiktor Rajca, Cathra Halabi, Maarten Lansberg, Bjoern Hartmann, Sanjit A. Seshia

CoRR, November, 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

FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs.

Monica Munnangi, Akshay Swaminathan, Jason Alan Fries, Jenelle A. Jindal, Sanjana Narayanan, Ivan Lopez, Lucia Tu, Philip Chung, Jesutofunmi A. Omiye, Mehr Kashyap, Nigam Shah

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

Ensuring useful adoption of generative artificial intelligence in healthcare.

Jenelle A. Jindal, Matthew P. Lungren, Nigam H. Shah

J. Am. Medical Informatics Assoc., 2024

Assessing the Limitations of Large Language Models in Clinical Fact Decomposition.

Monica Munnangi, Akshay Swaminathan, Jason Alan Fries, Jenelle A. Jindal, Sanjana Narayanan, Ivan Lopez, Lucia Tu, Philip Chung, Jesutofunmi A. Omiye, Mehr Kashyap, Nigam Shah

CoRR, 2024

Zero-Shot Clinical Trial Patient Matching with LLMs.

Michael Wornow, Alejandro Lozano, Dev Dash, Jenelle A. Jindal, Kenneth W. Mahaffey, Nigam H. Shah

CoRR, 2024

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records.

Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024