November 24, 2021 — Radiologists can now register their practices to take part in the next-generation American College of Radiology Data Science Institute artificial intelligence (AI) federated learning program hosted on the AI-LAB platform.

This free, vendor-neutral toolset allows users to “test drive,” develop and train AI algorithms at their institutions using local patient data. With federated learning, registered sites soon can participate in multi-site algorithm creation while allowing their data to remain safely on their own servers.

These sites will have access to both the community-created models and anonymized performance benchmarks so that they can understand performance of the algorithm produced by the greater clinical community to one that is fine-tuned to their own site’s data. This process will help them tune their own AI implementations to meet clinical needs.

“We as radiologists must take advantage of the new AI-LAB capabilities and leverage emerging opportunities to provide better patient care,” said Bibb Allen, M.D., FACR, ACR Data Science Institute chief medical officer. “The AI-LAB can allow radiologists to access resources to help them develop skills necessary to practice integrated diagnostics, become better physicians, and enhance the value we bring to patients and health systems.”

The AI-LAB process empowers radiologists to participate in AI creation, evaluation and validation, and meet coming responsibilities, requirements and opportunities in a future where AI will increasingly be used in daily practice. 

“Radiologists must prepare to serve as the imaging AI experts, gatekeepers of which AI technologies are purchased by their practices, and monitors of AI performance in patient care,” said Keith J. Dreyer, D.O., Ph.D., FACR, ACR Data Science Institute chief science officer. “Not doing so is to risk patient safety and algorithm effectiveness. The new AI-LAB can help radiologists prepare for tomorrow’s reality.”

Get more information on taking part in AI-LAB federated learning.


Related Content

News | Magnetic Resonance Imaging (MRI)

June 26, 2025 — Siemens Healthineers has received Food and Drug Administration clearance for the Magnetom Flow.Ace, its ...

Time June 26, 2025
arrow
News | Prostate Cancer

June 26, 2025 – Quibim, a global provider of quantitative medical imaging solutions, has launched AI-QUAL, a new feature ...

Time June 26, 2025
arrow
News | Bone Densitometry Systems

June 19, 2025 — Naitive Technologies has published results demonstrating the diagnostic performance of its AI-powered ...

Time June 18, 2025
arrow
News | Lung Imaging

June 18, 2025 — Exo recently announced that now included on its Exo Iris is the first ever FDA 510(k) cleared AI for ...

Time June 18, 2025
arrow
News | Digital Pathology

June 11, 2025 — Diagnostic laboratory leaders view digital pathology and artificial intelligence (AI) as pivotal to ...

Time June 12, 2025
arrow
News | Lung Imaging

June 11, 2025 — To prepare healthcare workforces and providers for an AI-driven future, Qure.ai has expanded its Global ...

Time June 11, 2025
arrow
News | Radiology Imaging

June 10, 2025 — CIVIE has announced the official launch of RadPod, an AI-driven, on-demand radiology platform designed ...

Time June 10, 2025
arrow
News | Ultrasound Imaging

June 4, 2025 — RadNet, Inc., a provider of high-quality, cost-effective diagnostic imaging services and digital health ...

Time June 09, 2025
arrow
News | Mammography

June 9, 2025 — A new independent, peer-reviewed study published in the journal Clinical Breast Cancer reinforces the ...

Time June 09, 2025
arrow
News | Imaging Software Development

June 05, 2025 — Nano-X Imaging Ltd. has announced that its deep-learning medical imaging analytics subsidiary, Nanox AI ...

Time June 05, 2025
arrow
Subscribe Now