Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists von Rajpurkar, Pranav, Irvin, Jeremy, Ball, Robyn L, Zhu, Kaylie, Yang, Brandon, Mehta, Hershel, Duan, Tony, Ding, Daisy, Bagul, Aarti, Langlotz, Curtis P, Patel, Bhavik N, Yeom, Kristen W, Shpanskaya, Katie, Blankenberg, Francis G, Seekins, Jayne, Amrhein, Timothy J, Mong, David A, Halabi, Safwan S, Zucker, Evan J, Ng, Andrew Y, Lungren, Matthew P

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Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet von Bien, Nicholas, Rajpurkar, Pranav, Ball, Robyn L, Irvin, Jeremy, Park, Allison, Jones, Erik, Bereket, Michael, Patel, Bhavik N, Yeom, Kristen W, Shpanskaya, Katie, Halabi, Safwan, Zucker, Evan, Fanton, Gary, Amanatullah, Derek F, Beaulieu, Christopher F, Riley, Geoffrey M, Stewart, Russell J, Blankenberg, Francis G, Larson, David B, Jones, Ricky H, Langlotz, Curtis P, Ng, Andrew Y, Lungren, Matthew P

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Information extraction from multi-institutional radiology reports von Hassanpour, Saeed, Langlotz, Curtis P

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Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs von Larson, David B, Chen, Matthew C, Lungren, Matthew P, Halabi, Safwan S, Stence, Nicholas V, Langlotz, Curtis P

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Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning von Tiu, Ekin, Talius, Ellie, Patel, Pujan, Langlotz, Curtis P., Ng, Andrew Y., Rajpurkar, Pranav

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Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs von Dunnmon, Jared A, Yi, Darvin, Langlotz, Curtis P, Ré, Christopher, Rubin, Daniel L, Lungren, Matthew P

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RadLex: a new method for indexing online educational materials von Langlotz, Curtis P

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A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop von Langlotz, Curtis P, Allen, Bibb, Erickson, Bradley J, Kalpathy-Cramer, Jayashree, Bigelow, Keith, Cook, Tessa S, Flanders, Adam E, Lungren, Matthew P, Mendelson, David S, Rudie, Jeffrey D, Wang, Ge, Kandarpa, Krishna

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Deep Learning to Classify Radiology Free-Text Reports von Chen, Matthew C, Ball, Robyn L, Yang, Lingyao, Moradzadeh, Nathaniel, Chapman, Brian E, Larson, David B, Langlotz, Curtis P, Amrhein, Timothy J, Lungren, Matthew P

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AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining von Rajpurkar, Pranav, Park, Allison, Irvin, Jeremy, Chute, Chris, Bereket, Michael, Mastrodicasa, Domenico, Langlotz, Curtis P., Lungren, Matthew P., Ng, Andrew Y., Patel, Bhavik N.

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Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How? von Daye, Dania, Wiggins, Walter F, Lungren, Matthew P, Alkasab, Tarik, Kottler, Nina, Allen, Bibb, Roth, Christopher J, Bizzo, Bernardo C, Durniak, Kimberly, Brink, James A, Larson, David B, Dreyer, Keith J, Langlotz, Curtis P

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Developing medical imaging AI for emerging infectious diseases von Huang, Shih-Cheng, Chaudhari, Akshay S., Langlotz, Curtis P., Shah, Nigam, Yeung, Serena, Lungren, Matthew P.

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Predicting post-operative right ventricular failure using video-based deep learning von Shad, Rohan, Quach, Nicolas, Fong, Robyn, Kasinpila, Patpilai, Bowles, Cayley, Castro, Miguel, Guha, Ashrith, Suarez, Erik E., Jovinge, Stefan, Lee, Sangjin, Boeve, Theodore, Amsallem, Myriam, Tang, Xiu, Haddad, Francois, Shudo, Yasuhiro, Woo, Y. Joseph, Teuteberg, Jeffrey, Cunningham, John P., Langlotz, Curtis P., Hiesinger, William

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The Future of AI and Informatics in Radiology: 10 Predictions von Langlotz, Curtis P

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Impact of a deep learning assistant on the histopathologic classification of liver cancer von Kiani, Amirhossein, Uyumazturk, Bora, Rajpurkar, Pranav, Wang, Alex, Gao, Rebecca, Jones, Erik, Yu, Yifan, Langlotz, Curtis P., Ball, Robyn L., Montine, Thomas J., Martin, Brock A., Berry, Gerald J., Ozawa, Michael G., Hazard, Florette K., Brown, Ryanne A., Chen, Simon B., Wood, Mona, Allard, Libby S., Ylagan, Lourdes, Ng, Andrew Y., Shen, Jeanne

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Will Artificial Intelligence Replace Radiologists? von Langlotz, Curtis P

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Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing von Hassanpour, Saeed, Bay, Graham, Langlotz, Curtis P.

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Deep Learning in Neuroradiology von Zaharchuk, G, Gong, E, Wintermark, M, Rubin, D, Langlotz, C P

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Automated coronary calcium scoring using deep learning with multicenter external validation von Eng, David, Chute, Christopher, Khandwala, Nishith, Rajpurkar, Pranav, Long, Jin, Shleifer, Sam, Khalaf, Mohamed H., Sandhu, Alexander T., Rodriguez, Fatima, Maron, David J., Seyyedi, Saeed, Marin, Daniele, Golub, Ilana, Budoff, Matthew, Kitamura, Felipe, Takahashi, Marcelo Straus, Filice, Ross W., Shah, Rajesh, Mongan, John, Kallianos, Kimberly, Langlotz, Curtis P., Lungren, Matthew P., Ng, Andrew Y., Patel, Bhavik N.

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Implications of Direct Patient Online Access to Radiology Reports Through Patient Web Portals von Lee, Christoph I., MD, MSHS, Langlotz, Curtis P., MD, PhD, Elmore, Joann G., MD, MPH

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