Ivan Lopez

12 papers A* 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Clinician input steers frontier AI models toward both accurate and harmful decisions.
CoRR
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
2025 J jnl
A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI.
CoRR
Alejandro Lozano, Min Woo Sun, James Burgess, Jeffrey J. Nirschl, Christopher Polzak, Yuhui Zhang, Liangyu Chen, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Collin Chiu, Orr Zohar, Xiaohan Wang, Alfred Seunghoon Song, Chia-Chun Chiang, Robert Tibshirani, Serena Yeung-Levy
2025 A* conf
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature.
CVPR
Alejandro Lozano, Min Woo Sun, James Burgess, Liangyu Chen, Jeffrey J. Nirschl, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Yuhui Zhang, Collin Chiu, Xiaohan Wang, Alfred Seunghoon Song, Robert Tibshirani, Serena Yeung-Levy
2025 J jnl
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature.
CoRR
Alejandro Lozano, Min Woo Sun, James Burgess, Liangyu Chen, Jeffrey J. Nirschl, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Austin Wolfgang Katzer, Collin Chiu, Anita Rau, Xiaohan Wang, Yuhui Zhang, Alfred Seunghoon Song, Robert Tibshirani, Serena Yeung-Levy
2025 J jnl
Clinical entity augmented retrieval for clinical information extraction.
npj Digit. Medicine
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
2025 J jnl
Distilling Large Language Models for Efficient Clinical Information Extraction.
CoRR
Karthik S. Vedula, Annika Gupta, Akshay Swaminathan, Ivan Lopez, Suhana Bedi, Nigam H. Shah
2025 J jnl
Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation.
CoRR
Ivan Lopez, Fateme Nateghi Haredasht, Kaitlin Caoili, Jonathan H. Chen, Akshay Chaudhari
2025 — conf
FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs.
MLHC
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
2025 J jnl
Operationalizing machine-assisted translation in healthcare.
npj Digit. Medicine
Ivan Lopez, David E. Velasquez, Jonathan H. Chen, Jorge A. Rodríguez
2025 J jnl
Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features.
J. Am. Medical Informatics Assoc.
Fateme Nateghi Haredasht, Ivan Lopez, Steven Tate, Pooya Ashtari, Min Min Chan, Deepali Kulkarni, Chwen-Yuen Angie Chen, Maithri Vangala, Kira Griffith, Bryan Bunning, Adam S. Miner, Tina Hernandez-Boussard, Keith Humphreys, Anna Lembke, L. Alexander Vance, Jonathan H. Chen
2024 J jnl
Assessing the Limitations of Large Language Models in Clinical Fact Decomposition.
CoRR
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
2023 J jnl
Selective prediction for extracting unstructured clinical data.
J. Am. Medical Informatics Assoc.
Akshay Swaminathan, Ivan Lopez, William Wang, Ujwal Srivastava, Edward Tran, Aarohi Bhargava-Shah, Janet Y. Wu, Alexander L. Ren, Kaitlin Caoili, Brandon Bui, Layth Alkhani, Susan Lee, Nathan Mohit, Noel Seo, Nicholas Macedo, Winson Cheng, Charles Liu, Reena Thomas, Jonathan H. Chen, Olivier Gevaert