Contrastive learning of heart and lung sounds for label-efficient diagnosis

por Soni, Pratham N., Shi, Siyu, Sriram, Pranav R., Ng, Andrew Y., Rajpurkar, Pranav
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

DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set

por Vrabac, Damir, Smit, Akshay, Rojansky, Rebecca, Natkunam, Yasodha, Advani, Ranjana H., Ng, Andrew Y., Fernandez-Pol, Sebastian, Rajpurkar, Pranav
Publicado 2021

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

Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments

por Irvin, Jeremy A., Kondrich, Andrew A., Ko, Michael, Rajpurkar, Pranav, Haghgoo, Behzad, Landon, Bruce E., Phillips, Robert L., Petterson, Stephen, Ng, Andrew Y., Basu, Sanjay
Publicado 2020

Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records

por Chi, Ethan Andrew, Chi, Gordon, Tsui, Cheuk To, Jiang, Yan, Jarr, Karolin, Kulkarni, Chiraag V., Zhang, Michael, Long, Jin, Ng, Andrew Y., Rajpurkar, Pranav, Sinha, Sidhartha R.
Publicado 2021

CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV

por Rajpurkar, Pranav, O’Connell, Chloe, Schechter, Amit, Asnani, Nishit, Li, Jason, Kiani, Amirhossein, Ball, Robyn L., Mendelson, Marc, Maartens, Gary, van Hoving, Daniël J., Griesel, Rulan, Ng, Andrew Y., Boyles, Tom H., Lungren, Matthew P.
Publicado 2020

Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza

por Hogan, Catherine A., Rajpurkar, Pranav, Sowrirajan, Hari, Phillips, Nicholas A., Le, Anthony T., Wu, Manhong, Garamani, Natasha, Sahoo, Malaya K., Wood, Mona L., Huang, ChunHong, Ng, Andrew Y., Mak, Justin, Cowan, Tina M., Pinsky, Benjamin A.
Publicado 2021

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

PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

por Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon, Chute, Chris, Ball, Robyn L., Borus, Norah, Huang, Andrew, Patel, Bhavik N., Rajpurkar, Pranav, Irvin, Jeremy, Dunnmon, Jared, Bledsoe, Joseph, Shpanskaya, Katie, Dhaliwal, Abhay, Zamanian, Roham, Ng, Andrew Y., Lungren, Matthew P.
Publicado 2020

Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

por Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon, Chute, Chris, Ball, Robyn L., Borus, Norah, Huang, Andrew, Patel, Bhavik N., Rajpurkar, Pranav, Irvin, Jeremy, Dunnmon, Jared, Bledsoe, Joseph, Shpanskaya, Katie, Dhaliwal, Abhay, Zamanian, Roham, Ng, Andrew Y., Lungren, Matthew P.
Publicado 2020

Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model

por Park, Allison, Chute, Chris, Rajpurkar, Pranav, Lou, Joe, Ball, Robyn L., Shpanskaya, Katie, Jabarkheel, Rashad, Kim, Lily H., McKenna, Emily, Tseng, Joe, Ni, Jason, Wishah, Fidaa, Wittber, Fred, Hong, David S., Wilson, Thomas J., Halabi, Safwan, Basu, Sanjay, Patel, Bhavik N., Lungren, Matthew P., Ng, Andrew Y., Yeom, Kristen W.
Publicado 2019

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