Last Updated: 09/26/2026
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Found 17 publications
Overview of real-world applications of federated learning with NVIDIA FLARE.
Journal: Journal of biopharmaceutical statistics
Published: February 03, 2025
A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.
Journal: Journal of imaging informatics in medicine
Published: January 11, 2024
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need.
Journal: Journal of the American Medical Informatics Association : JAMIA
Published: December 12, 2023
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes.
Journal: Health informatics journal
Published: October 21, 2023
A study of generative large language model for medical research and healthcare.
Journal: NPJ digital medicine
Published: June 05, 2023
Health system-scale language models are all-purpose prediction engines.
Journal: Nature
Published: October 14, 2022
A large language model for electronic health records.
Journal: NPJ digital medicine
Published: June 21, 2022
Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Journal: Medical image analysis
Published: October 08, 2021
Federated Learning used for predicting outcomes in SARS-COV-2 patients.
Journal: Research square
Published: January 14, 2021
Federated learning for predicting clinical outcomes in patients with COVID-19.
Journal: Nature medicine
Published: December 21, 2020
Correction to: CT and clinical assessment in asymptomatic and pre-symptomatic patients with early SARS-CoV-2 in outbreak settings.
Journal: European radiology
Published: December 08, 2020
Last Updated: 09/26/2026