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FedIHRAS: A Privacy-Preserving Federated Learning Framework for Multi-Institutional Collaborative Radiological Analysis with Integrated Explainability and Automated Clinical Reporting

2026-02-23

Abstract excerpt

The rapid growth of medical imaging data has intensified the need for advanced computational tools to support clinical decision-making. However, centralized approaches to artificial intelligence development raise significant challenges related to privacy, regulation, and generalizability. This paper introduces FedIHRAS (Federated Intelligent Humanized Radiology Analysis System), a privacy-preserving federated lear...

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Literature Corpus work: 424e82a9-8f07-5164-8ed1-d92eb07704eb
DOI: 10.20944/preprints202602.1347.v1

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