Iván López

According to our database, Iván López authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

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

A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI.

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

CoRR, March, 2025

Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation.

Ivan Lopez, Fateme Nateghi Haredasht, Kaitlin Caoili, Jonathan H. Chen, Akshay Chaudhari

CoRR, January, 2025

Distilling Large Language Models for Efficient Clinical Information Extraction.

Karthik S. Vedula, Annika Gupta, Akshay Swaminathan, Ivan Lopez, Suhana Bedi, Nigam H. Shah

CoRR, January, 2025

Operationalizing machine-assisted translation in healthcare.

Ivan Lopez, David E. Velasquez, Jonathan H. Chen, Jorge A. Rodríguez

npj Digit. Medicine, 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

Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features.

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

J. Am. Medical Informatics Assoc., 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

BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

2023

Selective prediction for extracting unstructured clinical data.

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

J. Am. Medical Informatics Assoc., December, 2023

Natural language processing system for rapid detection and intervention of mental health crisis chat messages.

Akshay Swaminathan, Iván López, Rafael Antonio Garcia Mar, Tyler Heist, Tom McClintock, Kaitlin Caoili, Madeline Grace, Matthew Rubashkin, Michael N. Boggs, Jonathan H. Chen, Olivier Gevaert, David Mou, Matthew K. Nock

npj Digit. Medicine, 2023