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Indirect ImmunoFluorescence (IIF) is the Reference Method for Autoimmune Diseases detection and is still widely used for its sensitivity, the specificity of the response, reproducibility and ease of use.

The main drawback of the IIF is its subjectivity in the interpretation of results, which highly depend on the operator's experience. As for the radiological diagnosis, the double reading of images is highly recommended to discrease misdiagnosis.

The innovation dimension of this project is mainly technological. Indeed, the development and validation of a powerfull reading IIF images software suitable for the autoimune diseases whichu uses artificial intelligence and a large bank of digital images constitute a rather innovative approach , because there is no basic digital IIF comprehensive data available to the scientific community and computer systems using the IIF tests, currently available are rare and in development phase.

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