Achitecture
The CLIC BAIT Solution architecture will be modular based. This will ensure that the platform can be adapted and configured to different IT landscapes thus reducing a barrier of entry identified in the project and thus increasing the commercial potential of the platform.
About the CLIC-BAIT Project
The CLIC BAIT is an expansion and extension of the CLIC project.
The CLIC BAIT Project will develop and commercialise a solution that supports the use of clinical images from Danish regions for the development, test, certification, deployment, commercialisation, validation and monitoring of image based AI solutions.
The Solution
The CLIC BAIT Solution can accelerate the adoption of clinical AI in the health care system and provide the foundation for a national ecosystem where health care professionals and private companies can develop, test and validate innovative AI solutions in close collaboration.
The CLIC BAIT Solution can accelerate the adoption of clinical AI in the health care system and provide the foundation for a national ecosystem where health care professionals and private companies can develop, test and validate innovative AI solutions in close collaboration.
National Perspective
Leading technology providers will work with a wide range of clinical departments from regions across Denmark to ensure that the platform becomes a globally competitive platform with unique functionality and usability that meet identified unmet needs.
Leading technology providers will work with a wide range of clinical departments from regions across Denmark to ensure that the platform becomes a globally competitive platform with unique functionality and usability that meet identified unmet needs.
Benefits to patients
CLIC BAIT facilitates increased usage of image based AI solutions that can enhance the quality and precision of diagnostics for the patients. Furthermore with the use of decision support the clinical processes and the patient journey can be optimized and valuable highly skilled professionals can be released to more complex tasks. AI solutions thus can help to increase the efficiency in health care provision.
Benefits to health care system
There are approximately 600 radiologists in Denmark. If the workload of radiologists dedicated to processing clinical images can be reduced by five hours every week this would be the equivalent of gaining 71 extra full-time radiologists in Denmark.
What is image based AI?
Using artificial intelligens for analyzing image data, can bring us from vast amounts of data to valid conclusions faster than ever before. To get started, the data needs to be collected and annotated, and an AI model needs to be set up, trained and deployed.
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Objectives for the project
Expands the clinical focus from radiology to all medical specialities where clinical images play a major role in the clinical workflow.
On the basis of the existing CLIC Platform build the CLIC BAIT Solution that can support the entire clinical AI life cycle from development, test, validation, deployment and monitoring of AI solutions by integrating with the open source MONAI DEPLOY platform.
Ensures the platform will meet regulatory requirements for both commercial AI solutions and for locally developed AI solutions that will be used both locally within Region Ø and scaled outside of the local context.
Increases the geographical reach by inviting use cases from the different regions in Denmark.
Adapts the architecture to a modular based CLIC BAIT Solution in order to secure a better fit with the architecture of potential clients.
Enables the sharing of data across regions through a federated learning architecture.
Deepens the public institutional ownership of using AI in the health care system.
