Highlighted Publications - Daneshjou Lab

Highlighted Publications

For a full list of publications, please visit Google Scholar.

2025
SycEval: Evaluating LLM Sycophancy
A H Fanous, J Goldberg, A A Agarwal, J Lin, A Y Zhou, R Daneshjou, O Koyejo
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2025
A longitudinal analysis of declining medical safety messaging in generative AI models
S Sharma, A M Alaa, R Daneshjou
NPJ Digital Medicine, 2025
Artificial Intelligence in Dermatology Research and Drug Discovery
V Utti, T Bikias, A A Agarwal, V Bikia, A Y Zhou, M M Shah, R Daneshjou
Dermatologic Clinics, 2025
BiasICL: In-context learning and demographic biases of vision language models
S Xu, J Janizek, Y Jiang, R Daneshjou
MICCAI, 2025
Evaluating anti-LGBTQIA+ medical bias in large language models
C T Chang, N Srivathsa, C Bou-Khalil, A Swaminathan, M R Lunn, K Mishra, S Koyejo, R Daneshjou
PLOS Digital Health, 2025
DREAM: A framework for discovering mechanisms underlying AI prediction of protected attributes
S U Gadgil, A J DeGrave, J D Janizek, S Xu, L Nwandu, F Fonjungo, S-I Lee, R Daneshjou
medRxiv, 2025
Multimodal image dataset for AI-based skin cancer (MIDAS) benchmarking
A S Chiou, J A Omiye, H Gui, S M Swetter, J M Ko, B Gastman, J Arbesman, Z R Cai, O Gevaert, C Sadée, V M Rotemberg, S S Han, P Tschandl, M Dickman, E Bailey, G Bae, P Bailin, J Boldrick, K Yekrang, P Caroline, J Hanna, N R Kurtansky, J Weber, N A See, M Phung, M Gallegos, R Daneshjou, R A Novoa
NEJM AI, 2025
Auditing the inference processes of medical-image classifiers by leveraging generative AI and the expertise of physicians
A J DeGrave, Z R Cai, J D Janizek, R Daneshjou, S-I Lee
Nature Biomedical Engineering, 2025
Red teaming ChatGPT in medicine to yield real-world insights on model behavior
C T Chang, H Farah, H Gui, S Rezaei, C Bou-Khalil, Y-J Park, A Swaminathan, J Omiye, A Kolluri, A Chaurasia, A Lozano, A Heiman, A Jia, A Kaushal, A Jia, A Iacovelli, A Yang, A Salles, A Singhal, B Narasimhan, B Belai, B H Jacobson, B Li, C H Poe, C Sanghera, C Zheng, C Messer, D V Kettud, D Pandya, D Kaur, D Hla, D Dindoust, D Moehrle, D Ross, E Chou, E Lin, F N Haredasht, G Cheng, I Gao, J Chang, J Silberg, J A Fries, J Xu, J Jamison, J S Tamaresis, J H Chen, J Lazaro, J M Banda, J J Lee, K Matthys, K R Steffner, L Tian, L Pegolotti, M Srinivasan, M Manimaran, M Schwede, M Zhang, M Nguyen, M Fathzadeh, Q Zhao, R Bajra, R Khurana, R Azam, R Bartlett, S T Truong, S L Fleming, S Raj, S Behr, S Onyeka, S Muppidi, T Bandali, T Y Eulalio, W Chen, X Zhou, Y Ding, Y Cui, Y Tan, Y Liu, N H Shah, R Daneshjou
NPJ Digital Medicine, 2025
It's time to bench the medical exam benchmark
I D Raji, R Daneshjou, E Alsentzer
NEJM AI, 2025
2024
Dermatologists' perspectives and usage of large language models in practice: An exploratory survey
H Gui, S J Rezaei, D Schlessinger, J Weed, J Lester, S Wongvibulsin, D Mitchell, J Ko, V Rotemberg, I Lee, R Daneshjou
Journal of Investigative Dermatology, 2024
A scoping review of reporting gaps in FDA-approved AI medical devices
V Muralidharan, B A Adewale, C J Huang, M T Nta, P O Ademiju, P Pathmarajah, M K Hang, O Adesanya, R O Abdullateef, A O Babatunde, A Ajibade, S Onyeka, Z R Cai, R Daneshjou, T Olatunji
NPJ Digital Medicine, 2024
Single-lesion skin cancer risk stratification triage pathway
Y Chen, H Gui, H Yao, J Adu-Brimpong, S Javitz, V Golovko, J Ko, R Daneshjou, A S Chiou
JAMA Dermatology, 2024
The promises and perils of foundation models in dermatology
H Gui, J A Omiye, C T Chang, R Daneshjou
Journal of Investigative Dermatology, 2024
A framework for evaluating the efficacy of foundation embedding models in healthcare
S Xu, H Gui, V Rotemberg, T Wang, Y T Chen, R Daneshjou
medRxiv, 2024
Transparent medical image AI via an image-text foundation model grounded in medical literature
C Kim, S U Gadgil, A J DeGrave, Z R Cai, R Daneshjou, S-I Lee
Nature Medicine, 2024
CRAFT-MD: A conversational evaluation framework for comprehensive assessment of clinical LLMs
S Johri, J Jeong, B A Tran, D I Schlessinger, S Wongvibulsin, Z R Cai, R Daneshjou, P Rajpurkar
AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024
Patient attitudes toward the AI doctor
A H Fanous, K R Steffner, R Daneshjou
Nature Medicine, 2024
2023
ChatGPT may improve access to language-concordant care for patients with non–English language preferences
F Dzuali, K Seiger, R Novoa, M A Aleshin, J Teng, J C Lester, R Daneshjou
JMIR Medical Education, 2023
Large language models propagate race-based medicine
J Omiye, J C Lester, S Spichak, V Rotemberg, R Daneshjou
NPJ Digital Medicine, 2023
Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI
V Muralidharan, A Burgart, R Daneshjou, S Rose
NPJ Digital Medicine, 2023
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning
G Tadesse, C Cintas, K R Varshney, P Staar, C Agunwa, S Speakman, J Jia, E E Bailey, A Adelekun, J Lipoff, G Onyekaba, J Lester, V Rotemberg, J Zou, R Daneshjou
NPJ Digital Medicine, 2023
Development and clinical evaluation of an artificial intelligence support tool for improving telemedicine photo quality
K Vodrahalli, J Ko, A Chiou, R Novoa, A Abid, M Phung, K Yekrang, P Petrone, J Zou, R Daneshjou
JAMA Dermatology, 2023
2022
Skincon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis
R Daneshjou, M Yuksekgonul, Z R Cai, R Novoa, J Y Zou
Advances in Neural Information Processing Systems, 2022
Toward augmented intelligence: The first prospective, randomized clinical trial assessing clinician and artificial intelligence collaboration in dermatology
R Daneshjou
Journal of Investigative Dermatology, 2022
Disparities in dermatology AI performance on a diverse, curated clinical image set
R Daneshjou, K Vodrahalli, R A Novoa, M Jenkins, W Liang, V Rotemberg, J Ko, S M Swetter, E E Bailey, O Gevaert, P Mukherjee, M Phung, K Yekrang, B Fong, R Sahasrabudhe, J A C Allerup, U Okata-Karigane, J Zou, A S Chiou
Science Advances, 2022
2021
Checklist for evaluation of image-based artificial intelligence reports in dermatology: CLEAR derm consensus guidelines from the International Skin Imaging Collaboration artificial intelligence working group
R Daneshjou, C Barata, B Betz‐Stablein, M Celebi, N Codella, M Combalia, P Guitera, D Gutman, A Halpern, B Helba, H Kittler, K Kose, K Liopyris, J Malvehy, H Seog, H Soyer, E Tkaczyk, P Tschandl, V Rotemberg
JAMA Dermatology, 2021
Lack of transparency and potential bias in artificial intelligence data sets and algorithms: A scoping review
R Daneshjou, M P Smith, M D Sun, V Rotemberg, J Zou
JAMA Dermatology, 2021
Research techniques made simple: Scientific communication using Twitter
R Daneshjou, L Shmuylovich, A Grada, V Horsley
Journal of Investigative Dermatology, 2021