Cook, Tessa S.

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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A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Langlotz, C. P., Allen, B., Erickson, B. J., Kalpathy-Cramer, J., Bigelow, K., Cook, T. S., Flanders, A. E., Lungren, M. P., Mendelson, D. S., Rudie, J. D., et al. (2019) · Radiology

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

Cited by 368

Artificial intelligence for precision education in radiology

Duong, M. T., Rauschecker, A. M., Rudie, J. D., Chen, P.-H., Cook, T. S., Bryan, R. N., & Mohan, S. (2019) · The British Journal of Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 205

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

Cited by 140

Readability of radiology reports: implications for patient-centered care

Martin-Carreras, T., Cook, T. S., & Kahn, C. E. (2019) · Clinical Imaging

Radiology practices and educationHealth Literacy and Information Accessibility

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Value Creation Through Artificial Intelligence and Cardiovascular Imaging: A Scientific Statement From the American Heart Association

Hanneman, K., Playford, D., Dey, D., van Assen, M., Mastrodicasa, D., Cook, T. S., Gichoya, J. W., Williamson, E. E., Rubin, G. D., & on behalf of the American Heart Association Council on Cardiovascular Radiology and Intervention; and Council on Lifelong Congenital Heart Disease and Heart Health in the Young (2024) · Circulation

Artificial Intelligence in Healthcare and EducationCardiac Imaging and Diagnostics

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Predicting patient demographics from chest Radiographs with deep learning

Adleberg, J., Wardeh, A., Doo, F. X., Marinelli, B., Cook, T. S., Mendelson, D. S., & Kagen, A. (2022) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 32

Development, evaluation, and assessment of large language models (DEAL) checklist: a technical report

Tripathi, S., Alkhulaifat, D., Doo, F. X., Rajpurkar, P., McBeth, R., Daye, D., & Cook, T. S. (2025) · NEJM AI

Topic ModelingNatural Language Processing Techniques

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