Federated benchmarking of medical artificial intelligence with MedPerf

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Unknown, Unknown, Unknown, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson

Open source

DOI: 10.1038/s42256-023-00652-2
Published: 2023-07-17
Container: Nature Machine Intelligence
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s42256-023-00652-2,
  title = {Federated benchmarking of medical artificial intelligence with MedPerf},
  author = {Alexandros Karargyris and Renato Umeton and Micah J. Sheller and Alejandro Aristizabal and Johnu George and Anna Wuest and Sarthak Pati and Hasan Kassem and Maximilian Zenk and Ujjwal Baid and Prakash Narayana Moorthy and Alexander Chowdhury and Junyi Guo and Sahil Nalawade and Jacob Rosenthal and David Kanter and Maria Xenochristou and Daniel J. Beutel and Verena Chung and Timothy Bergquist and James Eddy and Abubakar Abid and Lewis Tunstall and Omar Sanseviero and Dimitrios Dimitriadis and Yiming Qian and Xinxing Xu and Yong Liu and Rick Siow Mong Goh and Srini Bala and Victor Bittorf and Sreekar Reddy Puchala and Biagio Ricciuti and Soujanya Samineni and Eshna Sengupta and Akshay Chaudhari and Cody Coleman and Bala Desinghu and Gregory Diamos and Debo Dutta and Diane Feddema and Grigori Fursin and Xinyuan Huang and Satyananda Kashyap and Nicholas Lane and Indranil Mallick and Unknown and Unknown and Unknown and Pietro Mascagni and Virendra Mehta and Cassiano Ferro Moraes and Vivek Natarajan and Nikola Nikolov and Nicolas Padoy and Gennady Pekhimenko and Vijay Janapa Reddi and G. Anthony Reina and Pablo Ribalta and Abhishek Singh and Jayaraman J. Thiagarajan and Jacob Albrecht and Thomas Wolf and Geralyn Miller and Huazhu Fu and Prashant Shah and Daguang Xu and Poonam Yadav and David Talby and Mark M. Awad and Jeremy P. Howard and Michael Rosenthal and Luigi Marchionni and Massimo Loda and Jason M. Johnson and Spyridon Bakas and Peter Mattson},
  year = {2023},
  journal = {Nature Machine Intelligence},
  doi = {10.1038/s42256-023-00652-2},
  url = {https://doi.org/10.1038/s42256-023-00652-2}
}

RIS

TY  - JOUR
TI  - Federated benchmarking of medical artificial intelligence with MedPerf
AU  - Alexandros Karargyris
AU  - Renato Umeton
AU  - Micah J. Sheller
AU  - Alejandro Aristizabal
AU  - Johnu George
AU  - Anna Wuest
AU  - Sarthak Pati
AU  - Hasan Kassem
AU  - Maximilian Zenk
AU  - Ujjwal Baid
AU  - Prakash Narayana Moorthy
AU  - Alexander Chowdhury
AU  - Junyi Guo
AU  - Sahil Nalawade
AU  - Jacob Rosenthal
AU  - David Kanter
AU  - Maria Xenochristou
AU  - Daniel J. Beutel
AU  - Verena Chung
AU  - Timothy Bergquist
AU  - James Eddy
AU  - Abubakar Abid
AU  - Lewis Tunstall
AU  - Omar Sanseviero
AU  - Dimitrios Dimitriadis
AU  - Yiming Qian
AU  - Xinxing Xu
AU  - Yong Liu
AU  - Rick Siow Mong Goh
AU  - Srini Bala
AU  - Victor Bittorf
AU  - Sreekar Reddy Puchala
AU  - Biagio Ricciuti
AU  - Soujanya Samineni
AU  - Eshna Sengupta
AU  - Akshay Chaudhari
AU  - Cody Coleman
AU  - Bala Desinghu
AU  - Gregory Diamos
AU  - Debo Dutta
AU  - Diane Feddema
AU  - Grigori Fursin
AU  - Xinyuan Huang
AU  - Satyananda Kashyap
AU  - Nicholas Lane
AU  - Indranil Mallick
AU  - Unknown
AU  - Unknown
AU  - Unknown
AU  - Pietro Mascagni
AU  - Virendra Mehta
AU  - Cassiano Ferro Moraes
AU  - Vivek Natarajan
AU  - Nikola Nikolov
AU  - Nicolas Padoy
AU  - Gennady Pekhimenko
AU  - Vijay Janapa Reddi
AU  - G. Anthony Reina
AU  - Pablo Ribalta
AU  - Abhishek Singh
AU  - Jayaraman J. Thiagarajan
AU  - Jacob Albrecht
AU  - Thomas Wolf
AU  - Geralyn Miller
AU  - Huazhu Fu
AU  - Prashant Shah
AU  - Daguang Xu
AU  - Poonam Yadav
AU  - David Talby
AU  - Mark M. Awad
AU  - Jeremy P. Howard
AU  - Michael Rosenthal
AU  - Luigi Marchionni
AU  - Massimo Loda
AU  - Jason M. Johnson
AU  - Spyridon Bakas
AU  - Peter Mattson
PY  - 2023
JO  - Nature Machine Intelligence
DO  - 10.1038/s42256-023-00652-2
UR  - https://doi.org/10.1038/s42256-023-00652-2
ER  -

APA

Karargyris, A., Umeton, R., Sheller, M. J., Aristizabal, A., George, J., Wuest, A., Pati, S., Kassem, H., Zenk, M., Baid, U., Moorthy, P. N., Chowdhury, A., Guo, J., Nalawade, S., Rosenthal, J., Kanter, D., Xenochristou, M., Beutel, D. J., Chung, V., Bergquist, T., Eddy, J., Abid, A., Tunstall, L., Sanseviero, O., Dimitriadis, D., Qian, Y., Xu, X., Liu, Y., Goh, R. S. M., Bala, S., Bittorf, V., Puchala, S. R., Ricciuti, B., Samineni, S., Sengupta, E., Chaudhari, A., Coleman, C., Desinghu, B., Diamos, G., Dutta, D., Feddema, D., Fursin, G., Huang, X., Kashyap, S., Lane, N., Mallick, I., Unknown, Unknown, Unknown, Mascagni, P., Mehta, V., Moraes, C. F., Natarajan, V., Nikolov, N., Padoy, N., Pekhimenko, G., Reddi, V. J., Reina, G. A., Ribalta, P., Singh, A., Thiagarajan, J. J., Albrecht, J., Wolf, T., Miller, G., Fu, H., Shah, P., Xu, D., Yadav, P., Talby, D., Awad, M. M., Howard, J. P., Rosenthal, M., Marchionni, L., Loda, M., Johnson, J. M., Bakas, S., & Mattson, P. (2023). Federated benchmarking of medical artificial intelligence with MedPerf. Nature Machine Intelligence. https://doi.org/10.1038/s42256-023-00652-2

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crossref · retrieved 2026-09-26T09:43:20.692Z