A Case Tracking System with Electronic Medical Record Integration to Automate Outcome Tracking for Radiologists

por Alkasab, Tarik K., Harris, Mitchell A., Zalis, Michael E., Dreyer, Keith J., Rosenthal, Daniel I.
Publicado 2009

Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow: Development and Usability Study

por Rao, Arya, Pang, Michael, Kim, John, Kamineni, Meghana, Lie, Winston, Prasad, Anoop K, Landman, Adam, Dreyer, Keith, Succi, Marc D
Publicado 2023

Radiologist-Trained and -Tested (R2.2.4) Deep Learning Models for Identifying Anatomical Landmarks in Chest CT

por Kaviani, Parisa, Bizzo, Bernardo C., Digumarthy, Subba R., Dasegowda, Giridhar, Karout, Lina, Hillis, James, Neumark, Nir, Kalra, Mannudeep K., Dreyer, Keith J.
Publicado 2022

Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study

por Kaviani, Parisa, Digumarthy, Subba R., Bizzo, Bernardo C., Reddy, Bhargava, Tadepalli, Manoj, Putha, Preetham, Jagirdar, Ammar, Ebrahimian, Shadi, Kalra, Mannudeep K., Dreyer, Keith J.
Publicado 2022

Validation pipeline for machine learning algorithm assessment for multiple vendors

por Bizzo, Bernardo C., Ebrahimian, Shadi, Walters, Mark E., Michalski, Mark H., Andriole, Katherine P., Dreyer, Keith J., Kalra, Mannudeep K., Alkasab, Tarik, Digumarthy, Subba R.
Publicado 2022

Auto-Detection of Motion Artifacts on CT Pulmonary Angiograms with a Physician-Trained AI Algorithm

por Dasegowda, Giridhar, Bizzo, Bernardo C., Kaviani, Parisa, Karout, Lina, Ebrahimian, Shadi, Digumarthy, Subba R., Neumark, Nir, Hillis, James M., Kalra, Mannudeep K., Dreyer, Keith J.
Publicado 2023

Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution

por Dasegowda, Giridhar, Kalra, Mannudeep K., Abi-Ghanem, Alain S., Arru, Chiara D., Bernardo, Monica, Saba, Luca, Segota, Doris, Tabrizi, Zhale, Viswamitra, Sanjaya, Kaviani, Parisa, Karout, Lina, Dreyer, Keith J.
Publicado 2023

Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings

por Kaviani, Parisa, Kalra, Mannudeep K., Digumarthy, Subba R., Gupta, Reya V., Dasegowda, Giridhar, Jagirdar, Ammar, Gupta, Salil, Putha, Preetham, Mahajan, Vidur, Reddy, Bhargava, Venugopal, Vasanth K., Tadepalli, Manoj, Bizzo, Bernardo C., Dreyer, Keith J.
Publicado 2022

Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs

por Hillis, James M., Bizzo, Bernardo C., Mercaldo, Sarah, Chin, John K., Newbury-Chaet, Isabella, Digumarthy, Subba R., Gilman, Matthew D., Muse, Victorine V., Bottrell, Georgie, Seah, Jarrel C.Y., Jones, Catherine M., Kalra, Mannudeep K., Dreyer, Keith J.
Publicado 2022

Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency

por Ahn, Jong Seok, Ebrahimian, Shadi, McDermott, Shaunagh, Lee, Sanghyup, Naccarato, Laura, Di Capua, John F., Wu, Markus Y., Zhang, Eric W., Muse, Victorine, Miller, Benjamin, Sabzalipour, Farid, Bizzo, Bernardo C., Dreyer, Keith J., Kaviani, Parisa, Digumarthy, Subba R., Kalra, Mannudeep K.
Publicado 2022

Head CT deep learning model is highly accurate for early infarct estimation

por Gauriau, Romane, Bizzo, Bernardo C., Comeau, Donnella S., Hillis, James M., Bridge, Christopher P., Chin, John K., Pawar, Jayashri, Pourvaziri, Ali, Sesic, Ivana, Sharaf, Elshaimaa, Cao, Jinjin, Noro, Flavia T. C., Wiggins, Walter F., Caton, M. Travis, Kitamura, Felipe, Dreyer, Keith J., Kalafut, John F., Andriole, Katherine P., Pomerantz, Stuart R., Gonzalez, Ramon G., Lev, Michael H.
Publicado 2023

Implementing the DICOM Standard for Digital Pathology

por Herrmann, Markus D., Clunie, David A., Fedorov, Andriy, Doyle, Sean W., Pieper, Steven, Klepeis, Veronica, Le, Long P., Mutter, George L., Milstone, David S., Schultz, Thomas J., Kikinis, Ron, Kotecha, Gopal K., Hwang, David H., Andriole, Katherine P., Iafrate, A. John, Brink, James A., Boland, Giles W., Dreyer, Keith J., Michalski, Mark, Golden, Jeffrey A., Louis, David N., Lennerz, Jochen K.
Publicado 2018

Federated Learning used for predicting outcomes in SARS-COV-2 patients

por Flores, Mona, Dayan, Ittai, Roth, Holger, Zhong, Aoxiao, Harouni, Ahmed, Gentili, Amilcare, Abidin, Anas, Liu, Andrew, Costa, Anthony, Wood, Bradford, Tsai, Chien-Sung, Wang, Chih-Hung, Hsu, Chun-Nan, Lee, CK, Ruan, Colleen, Xu, Daguang, Wu, Dufan, Huang, Eddie, Kitamura, Felipe, Lacey, Griffin, César de Antônio Corradi, Gustavo, Shin, Hao-Hsin, Obinata, Hirofumi, Ren, Hui, Crane, Jason, Tetreault, Jesse, Guan, Jiahui, Garrett, John, Park, Jung Gil, Dreyer, Keith, Juluru, Krishna, Kersten, Kristopher, Bezerra Cavalcanti Rockenbach, Marcio Aloisio, Linguraru, Marius, Haider, Masoom, AbdelMaseeh, Meena, Rieke, Nicola, Damasceno, Pablo, Cruz e Silva, Pedro Mario, Wang, Pochuan, Xu, Sheng, Kawano, Shuichi, Sriswasdi, Sira, Park, Soo Young, Grist, Thomas, Buch, Varun, Jantarabenjakul, Watsamon, Wang, Weichung, Tak, Won Young, Li, Xiang, Lin, Xihong, Kwon, Fred, Gilbert, Fiona, Kaggie, Josh, Li, Quanzheng, Quraini, Abood, Feng, Andrew, Priest, Andrew, Turkbey, Baris, Glicksberg, Benjamin, Bizzo, Bernardo, Kim, Byung Seok, Tor-Diez, Carlos, Lee, Chia-Cheng, Hsu, Chia-Jung, Lin, Chin, Lai, Chiu-Ling, Hess, Christopher, Compas, Colin, Bhatia, Deepi, Oermann, Eric, Leibovitz, Evan, Sasaki, Hisashi, Mori, Hitoshi, Yang, Isaac, Sohn, Jae Ho, Keshava Murthy, Krishna Nand, Fu, Li-Chen, Furtado de Mendonça, Matheus Ribeiro, Fralick, Mike, Kang, Min Kyu, Adil, Mohammad, Gangai, Natalie, Vateekul, Peerapon, Elnajjar, Pierre, Hickman, Sarah, Majumdar, Sharmila, McLeod, Shelley, Reed, Sheridan, Graf, Stefan, Harmon, Stephanie, Kodama, Tatsuya, Puthanakit, Thanyawee, Mazzulli, Tony, de Lima Lavor, Vitor, Rakvongthai, Yothin, Lee, Yu Rim, Wen, Yuhong
Publicado 2021