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10 merged results for "Federated Learning"

Partial results: at least one source did not answer. Available results are shown rather than treating an upstream outage as zero matches.

1. Artificial Intelligence in Neurology: A Critical Narrative Review of Clinical Evidence, Translation, and Responsible Implementation.

   Zahran A, Fuqha R, Milhem A, Hajjeh O · 2026 · Brain and behavior

   limited evidence Transparent signal score 45/100 · policy 1.0.0

   Found in pubmed · DOI 10.1002/brb3.71873

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   • cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
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   • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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   • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

2. A federated many-to-one Hopfield model for associative neural networks.

   Alessandrelli A, Durante F, Ladiana A, Lepre A · 2026 · Neural networks : the official journal of the International Neural Network Society

   limited evidence Transparent signal score 43/100 · policy 1.0.0

   Found in pubmed · DOI 10.1016/j.neunet.2026.109830

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   • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

3. Standardising ocular surface photography for artificial intelligence: current limitations and a proposed roadmap.

   Romano V, Steger B, Airaldi M, Giuliano F · 2026 · Progress in retinal and eye research

   limited evidence Transparent signal score 43/100 · policy 1.0.0

   Found in pubmed · DOI 10.1016/j.preteyeres.2026.101539

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   • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

4. Artificial intelligence in predictive toxicology and drug safety: From preclinical prediction to post-market surveillance.

   Dudwadkar K, Khan S · 2026 · Regulatory toxicology and pharmacology : RTP

   limited evidence Transparent signal score 43/100 · policy 1.0.0

   Found in pubmed · DOI 10.1016/j.yrtph.2026.106289

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   • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

5. Structure Prototype Learning for Federated Molecular Property Prediction under Scaffold Heterogeneity.

   Sun T, Ye X, Sakurai T · 2026 · Journal of chemical information and modeling

   limited evidence Transparent signal score 43/100 · policy 1.0.0

   Found in pubmed · DOI 10.1021/acs.jcim.6c02297

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   • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

6. Enhancing Gradient Inversion Attacks in Federated Learning via Hierarchical Feature Optimization.

   Fang H, Yu W, Chen B, Wang X · 2026 · IEEE transactions on pattern analysis and machine intelligence

   limited evidence Transparent signal score 43/100 · policy 1.0.0

   Found in pubmed · DOI 10.1109/tpami.2026.3751908

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   • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

7. Compliance-by-Design in an AI-Enabled Platform for Early Crohn Disease Interception: A Viewpoint.

   Scaldaferri F, Puca P, Fiorelli E, Bosmans J · 2026 · Journal of medical Internet research

   limited evidence Transparent signal score 43/100 · policy 1.0.0

   Found in pubmed · DOI 10.2196/94570

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   • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

8. A paradigm shift toward explainable and federated intelligence for brain tumor MRI analysis.

   Uthra B, Sivashankari R · 2026 · Frontiers in artificial intelligence

   limited evidence Transparent signal score 45/100 · policy 1.0.0

   Found in pubmed · DOI 10.3389/frai.2026.1959004

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   • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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   • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

9. Collaborative Mechanism of Privacy Computing and Blockchain in Multi-Center Medical Data Sharing.

   Dong K · 2026 · Journal of visualized experiments : JoVE

   limited evidence Transparent signal score 43/100 · policy 1.0.0

   Found in pubmed · DOI 10.3791/70931

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   • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

10. Data Amount Heterogeneity Improves Performance in Federated Learning for Neuroimaging.

    Kurian P, Chattopadhyay T, Shaji A, Steeg GV · 2026 · ArXiv

    uncertain Transparent signal score 50/100 · policy 1.0.0

    Found in pubmed · no DOI

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer