30 years of expertise in ophthalmology
Since 1995, ADCIS has been developing image processing and analysis software for ophthalmology. We are involved in all stages of research and industrialization of these innovative solutions.
The numerous projects in which ADCIS has participated have enabled us to develop solutions, partnerships, and expertise covering the entire depth of the eye.
Our business? Computer vision : automatically extracting clinical, quantified, and reproducible information from images of the retina, cornea, and surface of the eye!
ADCIS solutions in ophthalmology
ADCIS publishes and distributes its own diagnostic software for ophthalmology. Co-developed with its clinical and academic partners, its solutions are available off-the-shelf and target various organizations in the field of ophthalmology:
Eyecare clinical staff
Ophtalmologists, optometrists, contactologists
Research group
Labs, University, R&D centers
Pharmas
Pharmas, Biotechs, clinical & pre-clinical CROs
Software publisher
Integration of ADCIS modules into business software for healthcare professionals
Hardware manufacturer
Integration of ADCIS modules into imaging modalities (fundus, OCT, specular, etc.)
Les produits ADCIS d'analyse d'images de la rétine
OphtAI
Web application that automatically screens retina pathologies based on color fundus images in Deep Learning
ReV Analyzer
Software for quantifying the volume of pigment epithelial detachments in OCT images of the retina
ADCIS corneal image analysis products
Gutteye
The application for characterizing Fuchs’ dystrophy
CornAI
The application of monitoring the morphological characteristics of endothelial cells in the context of corneal transplants
Kerify
The application of ex-vivo corneal tissue quality characterization in the context of corneal transplants
Aries
Automatic detection of nerves, neuromas, immune cells, and polyhedral cells in confocal imaging of the cornea
ADCIS solutions for analyzing images of the eye surface
RedAI
Automatic vessel segmentation, quantification, and grading of eye redness
DryAI
Automatic and reproducible quantification of dry eye symptoms
ADCIS solutions in contact lens fitting
Contactology patient record
A web platform for prescribing, calculating, and modeling custom lenses
3D Lens viewer
A web platform for 3D display of custom lenses tailored to contact lens fitting
Development projects
ADCIS supports its industrial partners in their projects to develop innovative custom applications in ophthalmology thanks to:
- Its software development expertise,
- Its expertise in ophthalmology,
- Its mastery of image processing and analysis techniques,
- Its specialization in artificial intelligence and deep learning,
- Its libraries of off-the-shelf modules,
- Its network of academic, clinical, institutional, and industrial partners.
ADCIS research projects in ophthalmology
Since 2021, ADCIS has been contributing to the EviRed project, one of the most ambitious RHU projects in ophthalmology. EviRed uses artificial intelligence and multimodal imaging to establish a new classification of diabetic retinopathy in order to improve patient diagnosis, prediction, and treatment:
– Artificial intelligence: combines the deep learning expertise of the LATIM laboratory and ADCIS engineers
– Multimodality: includes ultra-wide field fundus photography, optical coherence tomography, and OCT angiography
– Recruitment of a cohort of 3,000 patients by 12 recruitment centers and follow-up of patients for 2 years
– A dedicated reading center has been created to support the project and annotate the images that will be used to train the deep learning algorithms
The roles of ADCIS and Evolucare in EviRed consist of providing the entire diagnostic process: annotation software, specialized multimodal viewers, deep learning algorithms, and the project’s IT infrastructure
Other innovative ADCIS projects in ophthalmology
Alongside its clinical, academic, and institutional partners, ADCIS continues to invest in innovation to improve the screening, monitoring, and prediction of the progression of ophthalmic diseases.
DiabEyeAI
Screening for diabetic retinopathy in pharmacies, as close as possible to the patient
SEDAAR
Multimodal screening for retinal diseases (OCT, retinography)
Blepharoplasty
Software for automatic detection of key points in the periorbital region to assess the impact of eyelid surgery
Messidor, the retinal image database dedicated to research
ADCIS hosts the image database from the Messidor project (Méthodes d’Évaluation de Systèmes de Segmentation et d’Indexation Dédiées à l’Ophtalmologie Rétinienne). Developed to support studies on computer-assisted diagnosis of diabetic retinopathy, the Messidor database consists of 1,200 color fundus images and is available to the public.
