Aidoc and Nvidia to Collaborate on BRIDGE Guideline for AI Adoption in Health Care

October 23, 2024—Aidoc announced it is working with Nvidia to develop a guideline aiming to accelerate artificial intelligence (AI) adoption across the health care industry.

According to the company, BRIDGE—Blueprint for Resilient Integration and Deployment of Guided Excellence—will be a guideline with an evidence-driven framework for integrating AI into clinical workflows in order to help health care organizations scale AI innovation with greater speed and confidence. The guideline, which is intended to help establish clear pathways for health care systems to harness the potential of AI in improving patient outcomes, is slated for release in early 2025, advised the company.

Aidoc stated that although there are more than 900 FDA-cleared AI tools for medical imaging, health care systems remain mired in fragmentation, operational inefficiencies and scalability issues. With the BRIDGE guideline, the company seeks to provide a comprehensive, vendor-neutral roadmap that will help address these persistent challenges and empowering providers to unlock AI’s full potential.

Additionally, Aidoc stated that the guideline seeks to address a key challenge for many AI solutions: the failure to scale effectively because critical considerations around integration were not addressed early enough in the development process.

The BRIDGE guideline will provide health care systems with direction on addressing scalability and interoperability from the start, enabling the implementation of AI solutions across multiple sites simultaneously, stated the company. Whereas many existing guidelines focus on governance, regulatory concerns, and responsible development practices, Aidoc noted that BRIDGE will be specifically designed to help developers and health care providers consider the practicalities of real-world deployment. BRIDGE aims to be a comprehensive framework to help organizations navigate the complexities of AI adoption, from ideation to implementation and scalability across hospital systems.

As outlined in Aidoc’s announcement, key areas of focus include:

• Standardized Validation, ensuring AI solutions are rigorously tested for real-world use.
• Interoperability, facilitating seamless integration of AI tools from different vendors.
• Scalable Deployment, providing a roadmap for efficient AI expansion across hospital systems.
• Continuous Monitoring, offering best practices to maintain AI accuracy post-deployment.

The guideline will be developed through close collaboration with health care providers, academic partners and industry leaders to leverage the expertise and experience from real-world AI initiatives to help ensure the framework is practical, actionable and scalable.

More information about the BRIDGE guideline is available online here.

According to Aidoc, the BRIDGE guideline will lay the groundwork for aligning to industry frameworks, like MONAI, to build the blueprint for the medical AI enterprise platform.

MONAI was cofounded by academia and industry, including Nvidia, in 2019. It provides essential tools for medical AI development, validation, and deployment, and provides a strong foundation for building the BRIDGE guideline, stated Aidoc.