Publications & White Papers

Advancing the applications of AI, responsibly

SPIE Digital LIbrary, CAFES: chest x-ray analysis using federated self-supervised learning for pediatric Covid-19 detection

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

December 31, 2022

Radiology Today, Imaging Informatics: Breaking Down Siloes

MIT Libraries, Federated Learning Framework for NLP in Healthcare: Assessing Hospital Readmission Using Electronic Health Records

Journal of NeuroInterventional Surgery, E-107 Multi-center study of a deep learning model for intracranial aneurysm detection in computed tomography angiography

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

October 21, 2023

Health Informatics Journal, Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes

January 12, 2024

Medical AI, Monash University, Rethinking Semi-Supervised Federated Learning: A Dynamic Adaptive Threshold Generation Strategy

American Association for Cancer Research, Abstract 2344: Federated image quality assessment of prostate MRI scans in a multi-institutional setting

September 18, 2023

Department of Radiology, University of Cambridge, Validation of EXAM: COVID-19 Federated Learning Over Time