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Publications & White Papers
Advancing the applications of AI, responsibly
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Name (Z to A)
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Date (Oldest)
White Paper
March 5, 2025
Federated Computing in Banking: A New Paradigm for Secure Data Collaborations & AI Development
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Publication
April 3, 2024
SPIE Digital LIbrary, CAFES: chest x-ray analysis using federated self-supervised learning for pediatric Covid-19 detection
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Publication
September 15, 2021
Nature Medicine, Ittai Dayan (Rhino Health's Co-founder & CEO), et al., Federated learning for predicting clinical outcomes in patients with COVID-19
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Publication
December 31, 2022
Radiology Today, Imaging Informatics: Breaking Down Siloes
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Publication
May 15, 2023
MIT Libraries, Federated Learning Framework for NLP in Healthcare: Assessing Hospital Readmission Using Electronic Health Records
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Publication
July 23, 2022
Journal of NeuroInterventional Surgery, E-107 Multi-center study of a deep learning model for intracranial aneurysm detection in computed tomography angiography
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Publication
May 23, 2023
Rhino Health R&D Day, Several Healthcare AI Innovators and Medical Researchers presented the projects they are conducting on the Rhino's Federated Computing Platform
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Publication
October 21, 2023
Health Informatics Journal, Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes
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Publication
January 12, 2024
Medical AI, Monash University, Rethinking Semi-Supervised Federated Learning: A Dynamic Adaptive Threshold Generation Strategy
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Publication
April 15, 2024
American Association for Cancer Research, Abstract 2344: Federated image quality assessment of prostate MRI scans in a multi-institutional setting
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Publication
September 18, 2023
Department of Radiology, University of Cambridge, Validation of EXAM: COVID-19 Federated Learning Over Time
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