Aidoc, NVIDIA launch BRIDGE framework to accelerate healthcare AI adoption
TEL AVIV-YAFO, ISRAEL and CALIFORNIA, UNITED STATES — Aidoc and NVIDIA’s launched open-source framework, Blueprint for Resilient Integration and Deployment of Guided Excellence (BRIDGE), aims to unify validation, deployment, and trust-building to transition AI from pilot phases to real-world clinical use.
Standardizing AI deployment to overcome industry fragmentation
The development of AI in the healthcare domain resulted in an uneven system of vendor-specific solutions, assessment processes, and IT strategies, presenting a significant obstacle to smooth integration.
Blueprint for Resilient Integration and Deployment of Guided Excellence (BRIDGE) is a systematic strategy that provides technical, regulatory, and operational standards to make AI tools ready for healthcare use.
Aidoc states that the framework establishes standard terms for interoperability, scalability, and continuous monitoring, thereby resolving the inconsistencies that hinder adoption.
Leaders of healthcare organizations, such as Dr. Efstathia Andrikopoulou of the Harborview Medical Center, are focused on the idea that successful AI depends not only on the effectiveness of an algorithm but also on system-wide trust and transparency.
“Deploying AI at scale requires more than technical performance,” Dr. Andrikopoulou said.
“It requires trust, transparency and system-level readiness,” she added.
There are system-level capabilities required in achieving the deployment of AI at scale, she said. Uniting health systems, vendors, and regulators on their best practices, BRIDGE would facilitate less duplication of effort and promptly deliver the effect of AI into practice.
Shifting AI from experimentation to widespread clinical integration
Despite AI’s potential, many healthcare organizations struggle to move beyond limited pilot programs due to unclear deployment roadmaps.
BRIDGE offers a consensus-driven playbook for hospitals, covering model validation, production environments, and trust-building mechanisms, such as real-time monitoring.
“We’re at a point where AI in healthcare must mature from experimentation to integration,” said Dr. Leonardo Kayat Bittencourt, Vice Chair of Innovation in the University Hospitals Department of Radiology.
Aidoc, which embeds AI-driven insights into clinical workflows, and NVIDIA, a provider of healthcare AI microservices, developed BRIDGE with input from 17 organizations, including Ochsner Health.
Reut Yalon, Aidoc’s Chief Product Officer, emphasized that a “shared structure” is crucial for scaling AI without compromising safety. The framework could serve as a global benchmark, ensuring AI tools meet rigorous standards before reaching patients.
