Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results

por Lakhani, Paras, Langlotz, Curtis P.
Publicado 2009

Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports

por Chambon, Pierre, Cook, Tessa S., Langlotz, Curtis P.
Publicado 2022

Biomedical and clinical English model packages for the Stanza Python NLP library

por Zhang, Yuhao, Zhang, Yuhui, Qi, Peng, Manning, Christopher D, Langlotz, Curtis P
Publicado 2021

Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning

por Tiu, Ekin, Talius, Ellie, Patel, Pujan, Langlotz, Curtis P., Ng, Andrew Y., Rajpurkar, Pranav
Publicado 2022

Developing medical imaging AI for emerging infectious diseases

por Huang, Shih-Cheng, Chaudhari, Akshay S., Langlotz, Curtis P., Shah, Nigam, Yeung, Serena, Lungren, Matthew P.
Publicado 2022

Regulatory Frameworks for Development and Evaluation of Artificial Intelligence–Based Diagnostic Imaging Algorithms: Summary and Recommendations

por Larson, David B., Harvey, Hugh, Rubin, Daniel L., Irani, Neville, Tse, Justin R., Langlotz, Curtis P.
Publicado 2021

The LOINC RSNA radiology playbook - a unified terminology for radiology procedures

por Vreeman, Daniel J, Abhyankar, Swapna, Wang, Kenneth C, Carr, Christopher, Collins, Beverly, Rubin, Daniel L, Langlotz, Curtis P
Publicado 2018

Perceptions of Data Set Experts on Important Characteristics of Health Data Sets Ready for Machine Learning: A Qualitative Study

por Ng, Madelena Y., Youssef, Alaa, Miner, Adam S., Sarellano, Daniela, Long, Jin, Larson, David B., Hernandez-Boussard, Tina, Langlotz, Curtis P.
Publicado 2023

AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining

por Rajpurkar, Pranav, Park, Allison, Irvin, Jeremy, Chute, Chris, Bereket, Michael, Mastrodicasa, Domenico, Langlotz, Curtis P., Lungren, Matthew P., Ng, Andrew Y., Patel, Bhavik N.
Publicado 2020

The Stanford Medicine data science ecosystem for clinical and translational research

por Callahan, Alison, Ashley, Euan, Datta, Somalee, Desai, Priyamvada, Ferris, Todd A, Fries, Jason A, Halaas, Michael, Langlotz, Curtis P, Mackey, Sean, Posada, José D, Pfeffer, Michael A, Shah, Nigam H
Publicado 2023

Evaluating progress in automatic chest X-ray radiology report generation

por Yu, Feiyang, Endo, Mark, Krishnan, Rayan, Pan, Ian, Tsai, Andy, Reis, Eduardo Pontes, Fonseca, Eduardo Kaiser Ururahy Nunes, Lee, Henrique Min Ho, Abad, Zahra Shakeri Hossein, Ng, Andrew Y., Langlotz, Curtis P., Venugopal, Vasantha Kumar, Rajpurkar, Pranav
Publicado 2023

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts

por Van Veen, Dave, Van Uden, Cara, Blankemeier, Louis, Delbrouck, Jean-Benoit, Aali, Asad, Bluethgen, Christian, Pareek, Anuj, Polacin, Malgorzata, Reis, Eduardo Pontes, Seehofnerová, Anna, Rohatgi, Nidhi, Hosamani, Poonam, Collins, William, Ahuja, Neera, Langlotz, Curtis P., Hom, Jason, Gatidis, Sergios, Pauly, John, Chaudhari, Akshay S.
Publicado 2023

Predicting post-operative right ventricular failure using video-based deep learning

por 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
Publicado 2021

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

por 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.
Publicado 2018

Impact of a deep learning assistant on the histopathologic classification of liver cancer

por 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
Publicado 2020

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

por 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.
Publicado 2018

Automated coronary calcium scoring using deep learning with multicenter external validation

por 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.
Publicado 2021