Paper · 33015372

The future of digital health with federated learning.

Rieke N and 16 others. NPJ Digit Med, 2020. Cited by 1,137 papers, by iCite.

11 sourcespapers-2026-11-12-0.1.0

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ConductScience Library. The future of digital health with federated learning. Papers, record 33015372. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/33015372

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Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title: The future of digital health with federated learning.; PubMed
Journal: NPJ Digit Med; PubMed
Year: 2020; PubMed
Publication types: Journal Article, Review; PubMed
PubMed: https://pubmed.ncbi.nlm.nih.gov/33015372/; PubMed
DOI: https://doi.org/10.1038/s41746-020-00323-1; PubMed
PMC: https://pmc.ncbi.nlm.nih.gov/articles/PMC7490367/; PubMed
The journal: https://conductscience.org/library/journal-index/101731738; PubMed
Citations, by iCite: 1,137; iCite
Relative citation ratio, by iCite: 62.5; iCite
Revised in PubMed: 2026-10-01; PubMed

Authors17

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

Order	Author	Forename	ORCID iD
1	Rieke N	Nicola	https://orcid.org/0000-0003-0241-9334
2	Hancox J	Jonny
3	Li W	Wenqi	https://orcid.org/0000-0003-1081-2830
4	Milletarì F	Fausto
5	Roth HR	Holger R	https://orcid.org/0000-0002-3662-8743
6	Albarqouni S	Shadi	https://orcid.org/0000-0003-2157-2211
7	Bakas S	Spyridon
8	Galtier MN	Mathieu N
9	Landman BA	Bennett A	https://orcid.org/0000-0001-5733-2127
10	Maier-Hein K	Klaus	https://orcid.org/0000-0002-6626-2463

1 to 10 of 17Source PubMed

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Topics0

NLM's MeSH indexing of the paper, its major topics first.

None in this release.

Grants5

Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.

Grant, as the record writes it	Agency	Country	NIH project	Stated by	Source
U01 CA242871	NCI NIH HHS	United States	U01CA242871	PubMed	NIH RePORTER
S10 OD023495	NIH HHS	United States	S10OD023495	PubMed and NIH	NIH RePORTER
R01 NS042645	NINDS NIH HHS	United States	R01NS042645	PubMed	NIH RePORTER
	Wellcome Trust	United Kingdom		PubMed	PubMed
U24 CA189523	NCI NIH HHS	United States	U24CA189523	PubMed	NIH RePORTER

Trials1

The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.

Trial	Title	The trial lists it as	Named in the paper's record
NCT07800962	Federated Learning for Point-of-Care Cardiac Ultrasound	Background

Source ClinicalTrials.gov

Comments and corrections0

PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.

None in this release.

References27

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

Order	PMID	Title	Journal	Year	In Papers	Source
1	23,884,657	The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.	J Digit Imaging	2013	https://conductscience.org/library/papers/23884657	PubMed
2	31,560,949	Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records.	J Biomed Inform	2019	https://conductscience.org/library/papers/31560949	PubMed
3	26,017,442	Deep learning.	Nature	2015	https://conductscience.org/library/papers/26017442	PubMed
4	31,231,720	Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation.	Brainlesion	2019	https://conductscience.org/library/papers/31231720	PubMed
5	29,500,022	Federated learning of predictive models from federated Electronic Health Records.	Int J Med Inform	2018	https://conductscience.org/library/papers/29500022	PubMed
6	28,872,634	Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features.	Sci Data	2017	https://conductscience.org/library/papers/28872634	PubMed
7	25,494,501	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).	IEEE Trans Med Imaging	2015	https://conductscience.org/library/papers/25494501	PubMed
8	29,071,165	Federated Tensor Factorization for Computational Phenotyping.	KDD	2017	https://conductscience.org/library/papers/29071165	PubMed
9	29,860,392	1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.	Gigascience	2018	https://conductscience.org/library/papers/29860392	PubMed
10	25,826,379	UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.	PLoS Med	2015	https://conductscience.org/library/papers/25826379	PubMed

1 to 10 of 27

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Cited by878

The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 1,137 citations.

PMID	Title	Journal	Year	In Papers	Source
42,981,350	Digital health technologies and measurable management outcomes in primary care: A systematic review, descriptive quantitative synthesis, and temporal sensitivity analysis.	PLOS Digit Health	2026	https://conductscience.org/library/papers/42981350	PubMed
42,980,841	Artificial intelligence in pediatric allergic diseases: what the clinician needs to know.	Eur J Pediatr	2026	https://conductscience.org/library/papers/42980841	PubMed
42,979,433	Beyond generalist AI: purpose-built foundation models for transplantation.	Front Med (Lausanne)	2026	https://conductscience.org/library/papers/42979433	PubMed
42,979,228	Artificial intelligence in esophageal cancer: a narrative review from a thoracic surgical perspective.	Front Oncol	2026	https://conductscience.org/library/papers/42979228	PubMed
42,979,179	Beyond Anatomy in Uncomplicated Type B Aortic Dissection: Hypoxia, Physiological Reserve, and the Next Generation of Intelligent Endovascular Devices.	Med Devices (Auckl)	2026	https://conductscience.org/library/papers/42979179	PubMed
42,974,481	Artificial Intelligence-Enabled Nanomedicine in Precision Oncology: Diagnosis, Targeted Therapy, and Clinical Translation.	Int J Nanomedicine	2026	https://conductscience.org/library/papers/42974481	PubMed
42,967,960	Eight Hallmarks for Governing Artificial Intelligence in Medical Affairs: A Structured Pathway for Responsible AI Adoption.	Pharmaceut Med	2026	https://conductscience.org/library/papers/42967960	PubMed
42,964,531	Swarm Learning And Clinical Data: Evaluating The Benefit of a New Node For The Whole Network.	J Healthc Inform Res	2026	https://conductscience.org/library/papers/42964531	PubMed
42,961,350	Admission Mechanisms for Scalable Federated Health Data Collaboration: Design and Proof-of-Concept Study.	JMIR Med Inform	2026	https://conductscience.org/library/papers/42961350	PubMed
42,960,110	Artificial intelligence across the gastric cancer care continuum: Clinical evidence, multimodal integration, and translation.	iScience	2026	https://conductscience.org/library/papers/42960110	PubMed

1 to 10 of 878

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Genes0

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

None in this release.

Drugs0

The drugs whose trials, in the Pipelines release, list the paper.

None in this release.

Data0

The data bank entries PubMed's record names. Trial numbers are under Trials.

None in this release.

Data dates

The date of each source this release read.

PubMed: 2026-11-06; PubMed
iCite: 2026-11-05; iCite
PMC's ID file: 2026-11-05; PMC's ID file
NIH RePORTER's grant and paper links: 2026-11-01; NIH RePORTER's grant and paper links
Trials: 2026-11-12
Gene search: 2026-11-11
Pipelines: 2026-09-18

Sources 11

ChEMBL, through Open TargetsCC BY-SA 3.0
ClinicalTrials.govNo license stated
HGNCCC0
iCiteCC BY 4.0
NCBI GenePublic domain (US government)
NIH RePORTER's grant and paper linksPublic domain
Open TargetsCC0 1.0
PMC's ID filePublic domain (US government)
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0

Each source's terms

ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
ClinicalTrials.govnone stated
HGNCCC0: https://www.genenames.org/about/license/
iCiteCC BY 4.0
NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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