Zou, James

Analysis of protein-coding genetic variation in 60,706 humans

Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 9,587

Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Bolukbasi, T., Chang, K.-W., Zou, J., Saligrama, V., & Kalai, A. (2016) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 1,615

A single-cell transcriptomic atlas characterizes ageing tissues in the mouse

The Tabula Muris Consortium, Almanzar, N., Antony, J., Baghel, A. S., Bakerman, I., Bansal, I., Barres, B. A., Beachy, P. A., Berdnik, D., Bilen, B., et al. (2020) · Nature

Single-cell and spatial transcriptomicsGenetics, Aging, and Longevity in Model Organisms

Cited by 1,247

Video-based AI for beat-to-beat assessment of cardiac function

Ouyang, D., He, B., Ghorbani, A., Yuan, N., Ebinger, J., Langlotz, C. P., Heidenreich, P. A., Harrington, R. A., Liang, D. H., Ashley, E. A., et al. (2020) · Nature

Cardiovascular Function and Risk FactorsArtificial Intelligence in Healthcare and Education

Cited by 1,153

Word embeddings quantify 100 years of gender and ethnic stereotypes

Garg, N., Schiebinger, L., Jurafsky, D., & Zou, J. (2018) · Proceedings of the National Academy of Sciences

Ethics and Social Impacts of AIComputational and Text Analysis Methods

Cited by 1,065

A primer on deep learning in genomics

Zou, J., Huss, M., Abid, A., Mohammadi, P., Torkamani, A., & Telenti, A. (2019) · Nature Genetics

Machine Learning in BioinformaticsGenomics and Phylogenetic Studies

Cited by 891

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Chen, L., Zaharia, M., & Zou, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 889

Interpretation of Neural Networks Is Fragile

Ghorbani, A., Abid, A., & Zou, J. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 765

AI can be sexist and racist — it’s time to make it fair

Zou, J., & Schiebinger, L. (2018) · Nature

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 765

A visual–language foundation model for pathology image analysis using medical twitter

Huang, Z., Bianchi, F., Yuksekgonul, M., Montine, T. J., & Zou, J. (2023) · Nature Medicine

Multimodal Machine Learning ApplicationsAI in cancer detection

Cited by 693

GPT detectors are biased against non-native English writers

Liang, W., Yuksekgonul, M., Mao, Y., Wu, E., & Zou, J. (2023) · Patterns

Authorship Attribution and ProfilingEthics and Social Impacts of AI

Cited by 673

Ageing hallmarks exhibit organ-specific temporal signatures

Schaum, N., Lehallier, B., Hahn, O., Pálovics, R., Hosseinzadeh, S., Lee, S. E., Sit, R., Lee, D. P., Losada, P. M., Zardeneta, M. E., et al. (2020) · Nature

Genetics, Aging, and Longevity in Model OrganismsSingle-cell and spatial transcriptomics

Cited by 671

From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment.

Swanson, K., Wu, E., Zhang, A., Alizadeh, A. A., & Zou, J. (2023) · Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 597

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Disparities in dermatology AI performance on a diverse, curated clinical image set

Daneshjou, R., Vodrahalli, K., Novoa, R. A., Jenkins, M., Liang, W., Rotemberg, V., Ko, J., Swetter, S. M., Bailey, E. E., Gevaert, O., et al. (2022) · Science Advances

Cutaneous Melanoma Detection and ManagementArtificial Intelligence in Healthcare and Education

Cited by 544

Deep learning interpretation of echocardiograms

Ghorbani, A., Ouyang, D., Abid, A., He, B., Chen, J. H., Harrington, R. A., Liang, D. H., Ashley, E. A., & Zou, J. Y. (2020) · npj Digital Medicine

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 518

Integrating spatial gene expression and breast tumour morphology via deep learning

He, B., Bergenstråhle, L., Stenbeck, L., Abid, A., Andersson, A., Borg, Å., Maaskola, J., Lundeberg, J., & Zou, J. (2020) · Nature Biomedical Engineering

AI in cancer detectionSingle-cell and spatial transcriptomics

Cited by 507

How is ChatGPT's behavior changing over time?

Chen, L., Zaharia, M., & Zou, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 507

How Is ChatGPT’s Behavior Changing Over Time?

Chen, L., Zaharia, M., & Zou, J. (2024) · Harvard Data Science Review

Topic ModelingNatural Language Processing Techniques

Cited by 507

How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

Wu, E., Wu, K., Daneshjou, R., Ouyang, D., Ho, D. E., & Zou, J. (2021) · Nature Medicine

Artificial Intelligence in Healthcare and EducationHealthcare Regulation

Cited by 494

Persistent Anti-Muslim Bias in Large Language Models

Abid, A., Farooqi, M., & Zou, J. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 476

Shifting machine learning for healthcare from development to deployment and from models to data

Zhang, A., Xing, L., Zou, J., & Wu, J. C. (2022) · Nature Biomedical Engineering

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 420

Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms: A Scoping Review

Daneshjou, R., Smith, M. P., Sun, M. D., Rotemberg, V., & Zou, J. (2021) · JAMA Dermatology

Artificial Intelligence in Healthcare and EducationCutaneous Melanoma Detection and Management

Cited by 403

Mixture-of-Agents Enhances Large Language Model Capabilities

Wang, J., Wang, J., Athiwaratkun, B., Zhang, C., & Zou, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 386