Wu, Carol C.

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Tejani, A. S., Klontzas, M. E., Gatti, A. A., Mongan, J. T., Moy, L., Park, S. H., Kahn, C. E., Panel, F. T. C. 2. U., Abbara, S., Afat, S., et al. (2024) · Radiology: Artificial Intelligence

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

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Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

Geis, J. R., Brady, A. P., Wu, C. C., Spencer, J., Ranschaert, E., Jaremko, J. L., Langer, S. G., Borondy Kitts, A., Birch, J., Shields, W. F., et al. (2019) · Radiology

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

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DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks

Mobiny, A., Nguyen, H. V., Moulik, S., Garg, N., & Wu, C. C. (2019) · arXiv

Gaussian Processes and Bayesian InferenceAdversarial Robustness in Machine Learning

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Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

Geis, J. R., Brady, A. P., Wu, C. C., Spencer, J., Ranschaert, E., Jaremko, J. L., Langer, S. G., Kitts, A. B., Birch, J., Shields, W. F., et al. (2019) · Canadian Association of Radiologists Journal

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

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Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study

Saad, M. B., Hong, L., Aminu, M., Vokes, N. I., Chen, P., Salehjahromi, M., Qin, K., Sujit, S. J., Lu, X., Young, E., et al. (2023) · The Lancet Digital Health

Radiomics and Machine Learning in Medical ImagingCancer Immunotherapy and Biomarkers

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Pitfalls in Chest Radiographic Interpretation: Blind Spots

de Groot, P. M., Carter, B. W., Abbott, G. F., & Wu, C. C. (2015) · Seminars in Roentgenology

Lung Cancer Diagnosis and TreatmentAI in cancer detection

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Radiologist Point-of-Care Clinical Decision Support and Adherence to Guidelines for Incidental Lung Nodules

Lu, M. T., Rosman, D. A., Wu, C. C., Gilman, M. D., Harvey, H. B., Gervais, D. A., Alkasab, T. K., Shepard, J.-A. O., Boland, G. W., & Pandharipande, P. V. (2016) · Journal of the American College of Radiology

Electronic Health Records SystemsLung Cancer Diagnosis and Treatment

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Where Are They All Hiding? Common Blind Spots on Chest Radiography

Humphrey, K. L., Wu, C. C., Gilman, M. D., El-Sherief, A. H., Shepard, J.-A. O., & Abbott, G. F. (2011) · Contemporary Diagnostic Radiology

Radiology practices and educationUltrasound in Clinical Applications

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