Evidence map›Paper›PMID 33442676›Full record

ArticleResearch square2021

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

Mona Flores, Ittai Dayan, Holger Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Abidin, Andrew Liu, Anthony Costa, Bradford Wood and 88 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 44 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

98 authors at 20 institutions in 11 countries.

Mona Flores *NVIDIA.ORCID 0000-0002-7362-3044
Ittai DayanMGH Radiology and Harvard Medical School.
Holger Roth *NVIDIA.ORCID 0000-0002-3662-8743
Aoxiao Zhong *Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Ahmed HarouniNVIDIA.
Amilcare GentiliSan Diego VA Health Care System, San Diego.
Anas AbidinNVIDIA.
Andrew Liu
Anthony CostaMount Sinai Health System.
Bradford WoodRadiology & Imaging Sciences / Clinical Center, National Institutes of Health.
Chien-Sung TsaiDivision of Cardiovascular Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, R.O.C.
Chih-Hung WangTri-Service General Hospital, National Defense Medical Center.ORCID 0000-0001-5058-4356
Chun-Nan HsuCenter for Research in Biological Systems, University of California, San Diego.ORCID 0000-0002-5240-4707
C K LeeNVIDIA.
Colleen RuanNVIDIA.
Daguang XuNVIDIA.
Dufan WuCenter for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Eddie HuangNVIDIA.
Felipe KitamuraDiagnósticos da América SA (Dasa).ORCID 0000-0002-9992-5630
Griffin LaceyNVIDIA.
Gustavo César de Antônio Corradi
Hao-Hsin ShinMemorial Sloan Kettering Cancer Center.
Hirofumi ObinataSelf-Defense Forces Central Hospital.
Hui RenCenter for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Jason CraneCenter for Intelligent Imaging, Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Jesse TetreaultNVIDIA.
Jiahui GuanNVIDIA.
John GarrettThe University of Wisconsin-Madison School of Medicine and Public Health.ORCID 0000-0002-8152-736X
Jung Gil ParkYeungnam University College of Medicine.ORCID 0000-0001-5472-4731
Keith DreyerCenter for Clinical Data Science, Massachusetts General Brigham, Boston, MA.
Krishna JuluruMemorial Sloan Kettering Cancer Center.ORCID 0000-0001-8203-8894
Kristopher KerstenNVIDIA.
Marcio Aloisio Bezerra Cavalcanti RockenbachCenter for Clinical Data Science, Massachusetts General Brigham, Boston, MA.ORCID 0000-0003-1783-0441
Marius LinguraruSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital and School of Medicine and Health Sciences, George Washington University, Washington, DC.
Masoom HaiderJoint Dept. of Medical Imaging, Sinai Health System, University of Toronto, Toronto, Canada and Lunenfeld-Tanenbaum Research Institute, Toronto, Canada.
Meena AbdelMaseehLunenfeld-Tanenbaum Research Institute, Toronto, Canada.
Nicola RiekeNVIDIA.
Pablo DamascenoCenter for Intelligent Imaging, Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Pedro Mario Cruz E SilvaNVIDIA.
Pochuan WangMeDA Lab and Institute of Applied Mathematical Sciences, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-3856-048X
Sheng XuCenter for Interventional Oncology, National Institutes of Health, Bethesda, MD, USA.
Shuichi KawanoSelf-Defense Forces Central Hospital.
Sira SriswasdiChulalongkorn University.ORCID 0000-0002-4117-3632
Soo Young ParkDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Thomas GristUniversity of Wisconsin-Madison.
Varun BuchCenter for Clinical Data Science, Massachusetts General Brigham, Boston, MA.
Watsamon JantarabenjakulDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand and Thai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital, Bang.
Weichung WangNational Taiwan University.
Won Young TakDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Xiang LiCenter for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Xihong LinHarvard T.H. Chan School of Public Health.ORCID 0000-0001-7067-7752
Fred KwonMount Sinai Health System.
Fiona Gilbert *University of Cambridge.ORCID 0000-0002-0124-9962
Josh KaggieDepartment of Radiology, NIHR Cambridge Biomedical Resource Centre, University of Cambridge.
Quanzheng Li *Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Abood QurainiNVIDIA.
Andrew FengNVIDIA.
Andrew PriestDepartment of Radiology, NIHR Cambridge Biomedical Resource Centre, Cambridge University Hospital.ORCID 0000-0002-9771-4290
Baris TurkbeyNational Institutes of Health.ORCID 0000-0003-0853-6494
Benjamin GlicksbergIcahn School of Medicine at Mount Sinai.ORCID 0000-0003-4515-8090
Bernardo BizzoCenter for Clinical Data Science, Massachusetts General Brigham, Boston, MA.ORCID 0000-0002-9686-6751
Byung Seok KimDepartment of Internal Medicine, Catholic University of Daegu School of Medicine, Daegu, South Korea.
Carlos Tor-DiezSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC.ORCID 0000-0003-3339-5777
Chia-Cheng LeePlanning and Management Office, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, R.O.C. and Division of Colorectal Surgery, Department of Surgery, Tri-Service General H.
Chia-Jung HsuPlanning and Management Office, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, R.O.C.
Chin LinSchool of Medicine, National Defense Medical Center, Taipei, Taiwan, R.O.C. and School of Public Health, National Defense Medical Center, Taipei, Taiwan, R.O.C. and Graduate Institute of Life Scienc.
Chiu-Ling LaiMedical Review and Pharmaceutical Benefits Division, National Health Insurance Administration, Taipei. Taiwan.
Christopher HessUniversity of California, San Francisco.
Colin CompasNVIDIA.
Deepi BhatiaNVIDIA.
Eric OermannNYU Langone.
Evan LeibovitzThe Center for Clinical Data Science, Mass General Brigham.
Hisashi SasakiSelf-Defense Forces Central Hospital.
Hitoshi MoriSelf-Defense Forces Central Hospital.
Isaac YangNVIDIA.
Jae Ho SohnCenter for Intelligent Imaging, Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Krishna Nand Keshava MurthyMemorial Sloan Kettering Cancer Center.
Li-Chen FuMOST/NTU All Vista Healthcare Center, Center for Artificial Intelligence and Advanced Robotics, National Taiwan University, Taipei, Taiwan.
Matheus Ribeiro Furtado de MendonçaDiagnósticos da América SA (DASA).ORCID 0000-0001-5541-7207
Mike FralickDivision of General Internal Medicine and Geriatrics (Fralick), Sinai Health System, Toronto, Canada.
Min Kyu KangDepartment of Internal Medicine, Yeungnam University College of Medicine, Daegu, South Korea.
Mohammad AdilNVIDIA.
Natalie GangaiMemorial Sloan Kettering Cancer Center.
Peerapon VateekulDepartment of Computer Engineering, Faculty of Engineering, Chulalongkorn University.ORCID 0000-0001-9718-3592
Pierre ElnajjarMemorial Sloan Kettering Cancer Center.
Sarah HickmanDepartment of Radiology, NIHR Cambridge Biomedical Resource Centre, University of Cambridge.
Sharmila MajumdarCenter for Intelligent Imaging, Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Shelley McLeodSchwartz/Reisman Emergency Medicine Institute, Sinai Health, Toronto, ON, Canada and Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.
Sheridan ReedCenter for Interventional Oncology, National Institutes of Health, Bethesda, MD, USA.
Stefan GrafUniversity of Cambridge.ORCID 0000-0002-1315-8873
Stephanie HarmonNational Cancer Institute.ORCID 0000-0002-2507-2399
Tatsuya KodamaSelf-Defense Forces Central Hospital.
Thanyawee PuthanakitDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Center of Excellence in Pediatric Infectious Diseases and Vaccine, Chulalongkorn University.
Tony MazzulliDepartment of Microbiology, Sinai Health/University Health Network, Toronto, Canada and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto. Canada Public Health Ontar.
Vitor de Lima LavorDiagnósticos da América SA (DASA).
Yothin RakvongthaiChulalongkorn University Biomedical Imaging Group and Division of Nuclear Medicine, Department of Radiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Yu Rim LeeDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Yuhong WenNVIDIA.
Harvard University · USChulalongkorn University · THMemorial Sloan Kettering Cancer Center · USSelf-Defense Forces Central Hospital · JPUniversity of Cambridge · GBLaboratoire d’Imagerie Biomédicale · FRDASA (Brazil)Kyungpook National University · KRNational Institutes of Health Clinical Center · USNational Taiwan University · TWTri-Service General Hospital · TWChildren's National · USMount Sinai Health System · USNational Defense Medical Center · TWUniversity of California San Diego · USUniversity of Toronto · CAUniversity of Wisconsin–Madison · USYeungnam University CollegeDaegu Catholic University · KRHospital Dr. Gustavo Fricke · CL

Funding

Center for Interventional OncologyZIDBC011242 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2009 to 2025
$18.7M
Imaging, image guided biopsy and treatment of prostate cancerZIABC012062 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI TÜRKBEY, BARIS · 2021 to 2025
$1.3M
Development of COVID-19 Imaging Tools with Artificial IntelligenceZIABC011936 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2020 to 2025
$1.2M
Interventional OncologyZIACL040015 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2009 to 2025
$0k
Artificial Intelligence with Chest Imaging in COVID-19 and Isolation and Ventilator Devices for COVID-19ZIACL090072 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2020 to 2025
$0k
Cancer Research UK 26884Intramural NIH HHS ZIA CL040015Intramural NIH HHS ZID BC011242
6 · The paper itself

Abstract

'Federated Learning' (FL) is a method to train Artificial Intelligence (AI) models with data from multiple sources while maintaining anonymity of the data thus removing many barriers to data sharing. During the SARS-COV-2 pandemic, 20 institutes collaborated on a healthcare FL study to predict future oxygen requirements of infected patients using inputs of vital signs, laboratory data, and chest x-rays, constituting the "EXAM" (EMR CXR AI Model) model. EXAM achieved an average Area Under the Curve (AUC) of over 0.92, an average improvement of 16%, and a 38% increase in generalisability over local models. The FL paradigm was successfully applied to facilitate a rapid data science collaboration without data exchange, resulting in a model that generalised across heterogeneous, unharmonized datasets. This provided the broader healthcare community with a validated model to respond to COVID-19 challenges, as well as set the stage for broader use of FL in healthcare.

Identifiers

PMID33442676
PMCPMC7805458
OpenAlexW3120666722

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.