Stephen P. Ma

According to our database, Stephen P. Ma authored at least 16 papers between 2025 and 2026.

Collaborative distances:

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

2026

Multi-Method Validation of Large Language Model Medical Translation Across High- and Low-Resource Languages.

Chukwuebuka Anyaegbuna, Eduardo Juan Perez Guerrero, Jerry Liu, Timothy Keyes, April Liang, Natasha Z. Steele, Stephen P. Ma, Jonathan H. Chen, Kevin Schulman

CoRR, March, 2026

Deployment and Evaluation of an EHR-integrated, Large Language Model-Powered Tool to Triage Surgical Patients.

Jane Wang, Timothy Keyes, April S. Liang, Stephen P. Ma, Jason Shen, Jerry Liu, Nerissa Ambers, Abby Pandya, Rita Pandya, Jason Hom, Natasha Z. Steele, Jonathan H. Chen, Kevin Schulman

CoRR, March, 2026

Clinician input steers frontier AI models toward both accurate and harmful decisions.

Ivan Lopez, Selin S. Everett, Bryan J. Bunning, April S. Liang, Dong-han Yao, Shivam Vedak, Kameron C. Black, Sophie Ostmeier, Stephen P. Ma, Emily Alsentzer, Jonathan H. Chen, Akshay S. Chaudhari, Eric Horvitz

CoRR, March, 2026

Patient-Centered, Graph-Augmented Artificial Intelligence-Enabled Passive Surveillance for Early Stroke Risk Detection in High-Risk Individuals.

Jiyeong Kim, Stephen P. Ma, Nirali Vora, Nicholas W. Larsen, Julia Adler-Milstein, Jonathan H. Chen, Selen Bozkurt, Abeed Sarker, Juhee Cho, Jindeok Joo, Natalie Pageler, Fátima Rodriguez, Christopher D. Sharp, Eleni Linos

CoRR, February, 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

SmartAlert: Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Lab Utilization Reduction.

April S. Liang, Fatemeh Amrollahi, Yixing Jiang, Conor K. Corbin, Grace Y. E. Kim, David Mui, Trevor Crowell, Aakash Acharya, Sreedevi Mony, Soumya Punnathanam, Jack McKeown, Margaret Smith, Steven Lin, Arnold Milstein, Kevin Schulman, Jason Hom, Michael A. Pfeffer, Tho D. Pham, David Svec, Weihan Chu, Lisa Shieh, Christopher D. Sharp, Stephen P. Ma, Jonathan H. Chen

CoRR, December, 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

A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation.

Fatemeh Amrollahi, Nicholas Marshall, Fateme Nateghi Haredasht, Kameron C. Black, Aydin Zahedivash, Manoj Maddali, Stephen P. Ma, Amy Chang, Stanley Deresinski, Mary K. Goldstein, Steven M. Asch, Niaz Banaei, Jonathan H. Chen

CoRR, April, 2025

Optimizing Large Language Models for Detecting Symptoms of Comorbid Depression or Anxiety in Chronic Diseases: Insights from Patient Messages.

Jiyeong Kim, Stephen P. Ma, Michael L. Chen, Isaac R. Galatzer-Levy, John B. Torous, Peter J. van Roessel, Christopher D. Sharp, Michael A. Pfeffer, Carolyn I. Rodriguez, Eleni Linos, Jonathan H. Chen

CoRR, March, 2025

Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records.

Fateme Nateghi Haredasht, Fatemeh Amrollahi, Manoj Maddali, Nicholas Marshall, Stephen P. Ma, Lauren N. Cooper, Richard J. Medford, Sanjat Kanjilal, Niaz Banaei, Stanley Deresinski, Mary K. Goldstein, Steven M. Asch, Amy Chang, Jonathan H. Chen

CoRR, March, 2025

VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records.

Philip Chung, Akshay Swaminathan, Alex J. Goodell, Yeasul Kim, S. Momsen Reincke, Lichy Han, Ben Deverett, Mohammad Amin Sadeghi, Abdel-Badih Ariss, Marc Ghanem, David Seong, Andrew A. Lee, Caitlin E. Coombes, Brad Bradshaw, Mahir A. Sufian, Hyo Jung Hong, Teresa P. Nguyen, Mohammad R. Rasouli, Komal Kamra, Mark A. Burbridge, James McAvoy, Roya Saffary, Stephen P. Ma, Dev Dash, James Xie, Ellen Y. Wang, Clifford A. Schmiesing, Nigam Shah, Nima Aghaeepour

CoRR, January, 2025

Clinical entity augmented retrieval for clinical information extraction.

Ivan Lopez, Akshay Swaminathan, Karthik S. Vedula, Sanjana Narayanan, Fateme Nateghi Haredasht, Stephen P. Ma, April S. Liang, Steven Tate, Manoj Maddali, Robert Gallo, Nigam H. Shah, Jonathan H. Chen

npj Digit. Medicine, 2025

Optimizing large language models for detecting symptoms of depression/anxiety in chronic diseases patient communications.

Jiyeong Kim, Stephen P. Ma, Michael L. Chen, Isaac R. Galatzer-Levy, John B. Torous, Peter J. van Roessel, Christopher D. Sharp, Michael A. Pfeffer, Carolyn I. Rodriguez, Eleni Linos, Jonathan H. Chen

npj Digit. Medicine, 2025

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden.

Shreya J. Shah, Anna Devon-Sand, Stephen P. Ma, Yejin Jeong, Trevor Crowell, Margaret Smith, April S. Liang, Clarissa Delahaie, Caroline Hsia, Tait D. Shanafelt, Michael A. Pfeffer, Christopher D. Sharp, Steven Lin, Patricia Garcia

J. Am. Medical Informatics Assoc., 2025

Ambient artificial intelligence scribes: utilization and impact on documentation time.

Stephen P. Ma, April S. Liang, Shreya J. Shah, Margaret Smith, Yejin Jeong, Anna Devon-Sand, Trevor Crowell, Clarissa Delahaie, Caroline Hsia, Steven Lin, Tait D. Shanafelt, Michael A. Pfeffer, Christopher D. Sharp, Patricia Garcia

J. Am. Medical Informatics Assoc., 2025