| Data-driven prediction of drug effects and interactions NP Tatonetti, PP Ye, R Daneshjou, RB Altman Science translational medicine 4 (125), 125ra31-125ra31, 2012 | 898 | 2012 |
| Bioinformatics challenges for personalized medicine GH Fernald, E Capriotti, R Daneshjou, KJ Karczewski, RB Altman Bioinformatics 27 (13), 1741-1748, 2011 | 389 | 2011 |
| How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals E Wu, K Wu, R Daneshjou, D Ouyang, DE Ho, J Zou Nature Medicine 27 (4), 582-584, 2021 | 361 | 2021 |
| Genetic variants associated with warfarin dose in African-American individuals: a genome-wide association study MA Perera, LH Cavallari, NA Limdi, ER Gamazon, A Konkashbaev, ... The Lancet 382 (9894), 790-796, 2013 | 311 | 2013 |
| Disparities in dermatology AI performance on a diverse, curated clinical image set R Daneshjou, K Vodrahalli, RA Novoa, M Jenkins, W Liang, V Rotemberg, ... Science advances 8 (31), eabq6147, 2022 | 245* | 2022 |
| Lack of transparency and potential bias in artificial intelligence data sets and algorithms: a scoping review R Daneshjou, MP Smith, MD Sun, V Rotemberg, J Zou JAMA dermatology 157 (11), 1362-1369, 2021 | 226 | 2021 |
| Large language models propagate race-based medicine JA Omiye, JC Lester, S Spichak, V Rotemberg, R Daneshjou NPJ Digital Medicine 6 (1), 195, 2023 | 171 | 2023 |
| Checklist for evaluation of image-based artificial intelligence reports in dermatology: CLEAR derm consensus guidelines from the international skin imaging collaboration … R Daneshjou, C Barata, B Betz-Stablein, ME Celebi, N Codella, ... JAMA dermatology 158 (1), 90-96, 2022 | 107 | 2022 |
| Chapter 7: pharmacogenomics KJ Karczewski, R Daneshjou, RB Altman PLoS computational biology 8 (12), e1002817, 2012 | 88 | 2012 |
| Large language models in medicine: the potentials and pitfalls: a narrative review JA Omiye, H Gui, SJ Rezaei, J Zou, R Daneshjou Annals of Internal Medicine 177 (2), 210-220, 2024 | 83* | 2024 |
| Genetic variant in folate homeostasis is associated with lower warfarin dose in African Americans R Daneshjou, ER Gamazon, B Burkley, LH Cavallari, JA Johnson, ... Blood, The Journal of the American Society of Hematology 124 (14), 2298-2305, 2014 | 73 | 2014 |
| Targeted exon capture and sequencing in sporadic amyotrophic lateral sclerosis J Couthouis, AR Raphael, R Daneshjou, AD Gitler PLoS genetics 10 (10), e1004704, 2014 | 69 | 2014 |
| Do humans trust advice more if it comes from ai? an analysis of human-ai interactions K Vodrahalli, R Daneshjou, T Gerstenberg, J Zou Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 763-777, 2022 | 65 | 2022 |
| PharmGKB summary: very important pharmacogene information for CYP4F2 ML Alvarellos, K Sangkuhl, R Daneshjou, M Whirl-Carrillo, RB Altman, ... Pharmacogenetics and genomics 25 (1), 41-47, 2015 | 50 | 2015 |
| Towards transparency in dermatology image datasets with skin tone annotations by experts, crowds, and an algorithm M Groh, C Harris, R Daneshjou, O Badri, A Koochek Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-26, 2022 | 49 | 2022 |
| Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges R Daneshjou, Y Wang, Y Bromberg, S Bovo, PL Martelli, G Babbi, ... Human mutation 38 (9), 1182-1192, 2017 | 49 | 2017 |
| Black box warning: large language models and the future of infectious diseases consultation IS Schwartz, KE Link, R Daneshjou, N Cortés-Penfield Clinical infectious diseases 78 (4), 860-866, 2024 | 45 | 2024 |
| Skincon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis R Daneshjou, M Yuksekgonul, ZR Cai, R Novoa, JY Zou Advances in Neural Information Processing Systems 35, 18157-18167, 2022 | 42 | 2022 |
| Genome-wide meta-analysis identifies eight new susceptibility loci for cutaneous squamous cell carcinoma KY Sarin, Y Lin, R Daneshjou, A Ziyatdinov, G Thorleifsson, A Rubin, ... Nature communications 11 (1), 820, 2020 | 41 | 2020 |
| How to evaluate deep learning for cancer diagnostics–factors and recommendations R Daneshjou, B He, D Ouyang, JY Zou Biochimica et Biophysica Acta (BBA)-Reviews on Cancer 1875 (2), 188515, 2021 | 38 | 2021 |
James ZouStanford UniversityПодтвержден адрес электронной почты в домене stanford.edu
