Genome Analysis. - Guy Haskin Fernald; Emidio Capriotti; Roxana Daneshjou; Konrad J. Karczewski; Russ B. Altman (Bioinform., 2011)

Bioinformatics challenges for personalized medicine. - Guy Haskin Fernald; Emidio Capriotti; Roxana Daneshjou; Konrad J. Karczewski; Russ B. Altman (Bioinform., 2011)

Chapter 7: Pharmacogenomics. - Konrad J. Karczewski; Roxana Daneshjou; Russ B. Altman (PLoS Comput. Biol., 2012)

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 001; Carlos D. Bustamante; Russ B. Altman; Stephen B. Montgomery (Pacific Symposium on Biocomputing, 2014)

Session Introduction. - Roxana Daneshjou; Lukasz Kidzinski; Olga Afanasiev; Jonathan H. Chen (PSB, 2020)

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; et al. (AMIA, 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 (PSB, 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 001 (PSB, 2021)

Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions. - Roxana Daneshjou; Carrie Kovarik; Justin M. Ko (CoRR, 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; et al. (CoRR, 2021)

Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions. - Kailas Vodrahalli; Roxana Daneshjou; Tobias Gerstenberg; James Zou 001 (AIES, 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 (NeurIPS, 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; et al. (CoRR, 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 001; Roxana Daneshjou (CoRR, 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)

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 (ML4H@NeurIPS, 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 001 (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)

Large language models in medicine: the potentials and pitfalls. - Jesutofunmi A. Omiye; Haiwen Gui; Shawheen J. Rezaei; James Zou 001; Roxana Daneshjou (CoRR, 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 propagate race-based medicine. - Jesutofunmi A. Omiye; Jenna C. Lester; Simon Spichak; Veronica Rotemberg; Roxana Daneshjou (npj Digit. Medicine, 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; et al. (npj Digit. Medicine, 2023)

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 (ISBI, 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; et al. (CoRR, 2024)

BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text. - Elliot Bolton; Abhinav Venigalla; Michihiro Yasunaga; David Hall 006; Betty Xiong; Tony Lee; Roxana Daneshjou; Jonathan Frankle; Percy Liang; Michael Carbin; Christopher D. Manning (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)

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)

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)

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)

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; et al. (npj Digit. Medicine, 2024)

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; et al. (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)

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 Olantuji; Rohit Malpani; Rubeta N. Matin; Jesutofunmi A. Omiye; Yu Zhao; et al. (npj Digit. Medicine, 2025)

SycEval: Evaluating LLM Sycophancy. - Aaron Fanous; Jacob Goldberg; Ank A. Agarwal; Joanna Lin; Anson Zhou; Roxana Daneshjou; Sanmi Koyejo (CoRR, 2025)

BiasICL: In-Context Learning and Demographic Biases of Vision Language Models. - Sonnet Xu; Joseph D. Janizek; Yixing Jiang; Roxana Daneshjou (CoRR, 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 001; Mert Oez; Hao Qiu; Shrey Jain; et al. (CoRR, 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; et al. (CoRR, 2025)

A Systematic Analysis of Declining Medical Safety Messaging in Generative AI Models. - Sonali Sharma; Ahmed M. Alaa; Roxana Daneshjou (CoRR, 2025)