Kameron C. Black

According to our database, Kameron C. Black authored at least 7 papers between 2025 and 2026.

Collaborative distances:

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

2026

PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments.

Ruoqi Liu, Imran Q. Mohiuddin, Austin J. Schoeffler, Kavita Renduchintala, Ashwin Nayak, Prasantha L. Vemu, Shivam Vedak, Kameron C. Black, John L. Havlik, Isaac Ogunmola, Stephen P. Ma, Roopa Dhatt, Jonathan H. Chen

CoRR, May, 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

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

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

MedAgentBench: Dataset for Benchmarking LLMs as Agents in Medical Applications.

Yixing Jiang, Kameron C. Black, Gloria Geng, Danny Park, Andrew Y. Ng, Jonathan H. Chen

CoRR, January, 2025