Roxana Daneshjou

According to our database, Roxana Daneshjou authored at least 29 papers between 2011 and 2024.

Collaborative distances:

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

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

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

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

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, A. 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 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

Genome Analysis.

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

Bioinform., 2011