Roxana Daneshjou

According to our database, Roxana Daneshjou authored at least 46 papers between 2011 and 2026.

Collaborative distances:

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

2026

Visual concept ranking uncovers medical shortcuts used by large multimodal models.

Joseph D. Janizek, Sonnet Xu, Junayd Lateef, Roxana Daneshjou

CoRR, February, 2026

ReasonEdit: Editing Vision-Language Models using Human Reasoning.

Jiaxing Qiu, Kaihua Hou, Roxana Daneshjou, Ahmed Alaa, Thomas Hartvigsen

CoRR, February, 2026

2025

Explainable AI as a Double-Edged Sword in Dermatology: The Impact on Clinicians versus The Public.

Xuhai Xu, Haoyu Hu, Haoran Zhang, Will Ke Wang, Reina Wang, Luis R. Soenksen, Omar Badri, Sheharbano Jafry, Elise Burger, Lotanna Nwandu, Apoorva Mehta, Erik P. Duhaime, Asif Qasim, Hause Lin, Janis Pereira, Jonathan Hershon, Paulius Mui, Alejandro A. Gru, Noémie Elhadad, Lena Mamykina, Matthew Groh, Philipp Tschandl, Roxana Daneshjou, Marzyeh Ghassemi

CoRR, December, 2025

Structured Prompting Enables More Robust Evaluation of Language Models.

Asad Aali, Muhammad Ahmed Mohsin, Vasiliki Bikia, Arnav Singhvi, Richard Gaus, Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Yifan Mai, Jordan Cahoon, Michael A. Pfeffer, Roxana Daneshjou, Sanmi Koyejo, Emily Alsentzer, Christopher Potts, Nigam H. Shah, Akshay S. Chaudhari

CoRR, November, 2025

Prompt Triage: Structured Optimization Enhances Vision-Language Model Performance on Medical Imaging Benchmarks.

Arnav Singhvi, Vasiliki Bikia, Asad Aali, Akshay Chaudhari, Roxana Daneshjou

CoRR, November, 2025

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models.

Sonali Sharma, Ahmed M. Alaa, Roxana Daneshjou

CoRR, July, 2025

Expert-level validation of AI-generated medical text with scalable language models.

Asad Aali, Vasiliki Bikia, Maya Varma, Nicole Chiou, Sophie Ostmeier, Arnav Singhvi, Magdalini Paschali, Ashwin Kumar, Andrew Johnston, Karimar Amador-Martinez, Eduardo Juan Perez Guerrero, Paola Naovi Cruz Rivera, Sergios Gatidis, Christian Bluethgen, Eduardo Pontes Reis, Eddy D. Zandee van Rilland, Poonam Laxmappa Hosamani, Kevin R. Keet, Minjoung Go, Evelyn Bin Ling, David B. Larson, Curtis P. Langlotz, Roxana Daneshjou, Jason Hom, Sanmi Koyejo, Emily Alsentzer, Akshay S. Chaudhari

CoRR, July, 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

SycEval: Evaluating LLM Sycophancy.

Aaron Fanous, Jacob Goldberg, Ank A. Agarwal, Joanna Lin, Anson Zhou, Roxana Daneshjou, Sanmi Koyejo

CoRR, February, 2025

A longitudinal analysis of declining medical safety messaging in generative AI models.

Sonali Sharma, Ahmed M. Alaa, Roxana Daneshjou

npj Digit. Medicine, 2025

Global Initiative on AI for Health (GI-AI4H): strategic priorities advancing governance across the United Nations.

Vijaytha Muralidharan, Madelena Y. Ng, Shada Alsalamah, Sameer Pujari, Kanika Kalra, Rajeshwari Singh, Denise Schalet, Tobi Olatunji, Rohit Malpani, Rubeta N. Matin, Jesutofunmi A. Omiye, Yu Zhao, Anita Sands, Andreas Reis, Jose Eduardo Diaz Mendoza, Tina Hernandez-Boussard, Roxana Daneshjou, Alain B. Labrique

npj Digit. Medicine, 2025

Cognitive bias in clinical large language models.

Arjun Mahajan, Ziad Obermeyer, Roxana Daneshjou, Jenna C. Lester, Dylan Powell

npj Digit. Medicine, 2025

Improving dataset transparency in dermatologic Artificial Intelligence using a dataset nutrition label.

Yingjoy Li, Matthew Taylor, Kasia S. Chmielinski, Allan C. Halpern, Roxana Daneshjou, Jenna C. Lester, Veronica Rotemberg

npj Digit. Medicine, 2025

Policy brief: AI-first Medicaid: how CMS can build a smarter safety net with Precision Benefits.

Nathan Favini, Neil Batlivala, Marko Mijic, Roxana Daneshjou

npj Digit. Medicine, 2025

Reply to "When do large language models cross the line: "reasoning" red teaming in healthcare".

Roxana Daneshjou

npj Digit. Medicine, 2025

Red teaming ChatGPT in medicine to yield real-world insights on model behavior.

Crystal T. Chang, Hodan Farah, Haiwen Gui, Shawheen Justin Rezaei, Charbel Bou-Khalil, Ye-Jean Park, Akshay Swaminathan, Jesutofunmi A. Omiye, Akaash Kolluri, Akash Chaurasia, Alejandro Lozano, Alice Heiman, Allison Sihan Jia, Amit Kaushal, Angela Jia, Angelica Iacovelli, Archer Yang, Arghavan Salles, Arpita Singhal, Balasubramanian Narasimhan, Benjamin Belai, Benjamin H. Jacobson, Binglan Li, Celeste H. Poe, Chandan Sanghera, Chenming Zheng, Conor Messer, Damien Varid Kettud, Deven Pandya, Dhamanpreet Kaur, Diana Hla, Diba Dindoust, Dominik Moehrle, Duncan Ross, Ellaine Chou, Eric Lin, Fateme Nateghi Haredasht, Ge Cheng, Irena Gao, Jacob Chang, Jake Silberg, Jason A. Fries, Jiapeng Xu, Joe Jamison, John S. Tamaresis, Jonathan H. Chen, Joshua Lazaro, Juan M. Banda, Julie J. Lee, Karen Ebert Matthys, Kirsten R. Steffner, Lu Tian, Luca Pegolotti, Malathi Srinivasan, Maniragav Manimaran, Matthew Schwede, Minghe Zhang, Minh Nguyen, Mohsen Fathzadeh, Qian Zhao, Rika Bajra, Rohit Khurana, Ruhana Azam, Rush Bartlett, Sang T. Truong, Scott L. Fleming, Shriti Raj, Solveig Behr, Sonia Onyeka, Sri Muppidi, Tarek Bandali, Tiffany Y. Eulalio, Wenyuan Chen, Xuanyu Zhou, Yanan Ding, Ying Cui, Yuqi Tan, Yutong Liu, Nigam Shah, Roxana Daneshjou

npj Digit. Medicine, 2025

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models.

Farhad Maleki, Linda Moy, Reza Forghani, Tapotosh Ghosh, Katie L. Ovens, Steve Langer, Pouria Rouzrokh, Bardia Khosravi, Ali Ganjizadeh, Daniel I. Warren, Roxana Daneshjou, Mana Moassefi, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline

J. Imaging Inform. Medicine, 2025

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models.

Sonnet Xu, Joseph D. Janizek, Yixing Jiang, Roxana Daneshjou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

A scoping review of reporting gaps in FDA-approved AI medical devices.

Vijaytha Muralidharan, Boluwatife Adeleye Adewale, Caroline J. Huang, Mfon Thelma Nta, Peter Oluwaduyilemi Ademiju, Pirunthan Pathmarajah, Man Kien Hang, Oluwafolajimi Adesanya, Ridwanullah Olamide Abdullateef, Abdulhammed Opeyemi Babatunde, Abdulquddus Ajibade, Sonia Onyeka, Zhou Ran Cai, Roxana Daneshjou, Tobi Olatunji

npj Digit. Medicine, 2024

Human-AI interaction in skin cancer diagnosis: a systematic review and meta-analysis.

Isabelle Krakowski, Jiyeong Kim, Zhuo Ran Cai, Roxana Daneshjou, Jan Lapins, Hanna Eriksson, Anastasia Lykou, Eleni Linos

npj Digit. Medicine, 2024

Best Practices for Large Language Models in Radiology.

Christian Bluethgen, Dave Van Veen, Cyril Zakka, Katherine Link, Aaron Fanous, Roxana Daneshjou, Thomas Frauenfelder, Curtis P. Langlotz, Sergios Gatidis, Akshay Chaudhari

CoRR, 2024

Almanac Copilot: Towards Autonomous Electronic Health Record Navigation.

Cyril Zakka, Joseph Cho, Gracia Fahed, Rohan Shad, Michael Moor, Robyn Fong, Dhamanpreet Kaur, Vishnu Ravi, Oliver O. Aalami, Roxana Daneshjou, Akshay Chaudhari, William Hiesinger

CoRR, 2024

Assessing The Potential Of Mid-Sized Language Models For Clinical QA.

Elliot Bolton, Betty Xiong, Vijaytha Muralidharan, Joel Schamroth, Vivek Muralidharan, Christopher D. Manning, Roxana Daneshjou

CoRR, 2024

BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text.

Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, David Hall, Betty Xiong, Tony Lee, Roxana Daneshjou, Jonathan Frankle, Percy Liang, Michael Carbin, Christopher D. Manning

CoRR, 2024

Evaluating the Impact of Skin Tone Representation on Out-of-Distribution Detection Performance in Dermatology.

Assala Benmalek, Celia Cintas, Girmaw Abebe Tadesse, Roxana Daneshjou, Kush R. Varshney, Dalila Cherifi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning.

Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter W. J. Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou

npj Digit. Medicine, 2023

Large language models propagate race-based medicine.

Jesutofunmi A. Omiye, Jenna C. Lester, Simon Spichak, Veronica Rotemberg, Roxana Daneshjou

npj Digit. Medicine, 2023

Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI.

Vijaytha Muralidharan, Alyssa Burgart, Roxana Daneshjou, S. Rose

npj Digit. Medicine, 2023

Large language models in medicine: the potentials and pitfalls.

Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei, James Zou, Roxana Daneshjou

CoRR, 2023

Augmenting medical image classifiers with synthetic data from latent diffusion models.

Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai

CoRR, 2023

SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis.

Roxana Daneshjou, Mert Yüksekgönül, Zhuo Ran Cai, Roberto A. Novoa, James Zou

CoRR, 2023

Towards Reliable Dermatology Evaluation Benchmarks.

Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly

Proceedings of the Machine Learning for Health, 2023

2022

Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm.

Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek

Proc. ACM Hum. Comput. Interact., 2022

Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality.

Kailas Vodrahalli, Justin Ko, Albert S. Chiou, Roberto A. Novoa, Abubakar Abid, Michelle Phung, Kiana Yekrang, Paige Petrone, James Zou, Roxana Daneshjou

CoRR, 2022

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set.

Roxana Daneshjou, Kailas Vodrahalli, Roberto A. Novoa, Melissa Jenkins, Weixin Liang, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, Johan A. C. Allerup, Utako Okata-Karigane, James Zou, Albert Chiou

CoRR, 2022

SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis.

Roxana Daneshjou, Mert Yüksekgönül, Zhuo Ran Cai, Roberto A. Novoa, James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions.

Kailas Vodrahalli, Roxana Daneshjou, Tobias Gerstenberg, James Zou

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

Disparities in Dermatology AI: Assessments Using Diverse Clinical Images.

Roxana Daneshjou, Kailas Vodrahalli, Weixin Liang, Roberto A. Novoa, Melissa Jenkins, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, James Zou, Albert Chiou

CoRR, 2021

Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions.

Roxana Daneshjou, Carrie Kovarik, Justin M. Ko

CoRR, 2021

TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos.

Kailas Vodrahalli, Roxana Daneshjou, Roberto A. Novoa, Albert Chiou, Justin M. Ko, James Zou

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

Computational Challenges and Artificial Intelligence in Precision Medicine.

Olga Afanasiev, Joanne Berghout, Steven E. Brenner, Martha L. Bulyk, Dana C. Crawford, Jonathan H. Chen, Roxana Daneshjou, Lukasz Kidzinski

Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021

Racial Representation Analysis in Dermatology Academic Materials.

Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter W. J. Staar, Skyler Speakman, Kenya S. Andrews, Chinyere Agunwa, Justin Jia, Elizabeth E. Bailey, Jules Lipoff, Ginikanwa Onyekaba, Veronica Rotemberg, Ademide Adelekun, James Y. Zou

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Session Introduction.

Roxana Daneshjou, Lukasz Kidzinski, Olga Afanasiev, Jonathan H. Chen

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2014

PATH-SCAN: A Reporting Tool for Identifying Clinically Actionable Variants.

Roxana Daneshjou, Zachary Zappala, Kimberly R. Kukurba, Sean M. Boyle, Kelly E. Ormond, Teri E. Klein, Michael Snyder, Carlos D. Bustamante, Russ B. Altman, Stephen B. Montgomery

Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2012

Chapter 7: Pharmacogenomics.

Konrad J. Karczewski, Roxana Daneshjou, Russ B. Altman

PLoS Comput. Biol., 2012

2011

Bioinformatics challenges for personalized medicine.

Guy Haskin Fernald, Emidio Capriotti, Roxana Daneshjou, Konrad J. Karczewski, Russ B. Altman

Bioinform., 2011