Our validations

GeodAIsics has filed 2 patents on its AI technology, covering major topics for any future use.

Our scientific publications

1.
Predicting Multiple Sclerosis From Radiologically Isolated Syndrome Using Generative Artificial Intelligence. Christine Lebrun-Frenay, Felix Renard, Lydiane Mondot, Cassandre Landes-Chateau, Adeline Stewart, Mikael Cohen, Darin T. Okuda, Arnaud Attyé. PLOS Digit Health. 2026.
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2.
Evaluation of Brain Age on Magnetic Resonance Imaging Using Machine Learning Techniques in Patients With Hearing Loss. Raphaele Quatre, Ashley Baguant, Félix Renard, Giliane Lalami, et al. Ear Hear. 2026.
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3.
Piot, E, Renard, F, Attyé, A, and Krainik, A., 2025. Estimation of reference curves for brain atrophy and analysis of robustness to machine effects. Scientific reports, 15(1), p.34585.
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4.
Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis. Heudel P, Ahmed M, Renard F, Attyé A. JMIR Cancer. 2025
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5.
Training and validation of a deep learning U-net architecture general model for automated segmentation of inner ear from CT. Jonathan Lim, Aurore Abily, Douraïed Ben Salem, Loïc Gaillandre, Arnaud Attyé, Julien Ognard. Eur Radiol Exp 2024
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6.
Data-driven normative values based on generative manifold learning for quantitative MRI. Attyé A, Renard F, Calamante F et al. Scientific Reports 2024.
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7.
Intérêt de l’intelligence artificielle pour la détection des malformations labyrinthiques à partir de données d’imagerie médicale. Attyé A. La Lettre d’ORL 2024.
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8.
Improving rehabilitation of deaf patients by advanced imaging before cochlear implantation. Quatre R, Schmerber S, Attyé A. Journal of Neuroradiology 2024.
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9.
Digital twins in cancer research and treatment: A future for personalized medicine. Heudel PE, Renard F, Attyé A. Bull Cancer 2023
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10.
Piot E, Renard F and Attyé A, 2023. Les Jumeaux numériques en imagerie cérébrale. Pratique Neurologique-FMC, 14(3), pp.173-175.
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Patent FR2303553

Personalising medical reference values for each individual by creating their digital twin to detect diseases earlier.

Patent FR2313807

Discovering new diseases or disease subtypes, outperforming leading experts in the analysis of complex medical data.

Testimonials

Wendy van der Linden, BYG4Lab

“The collaboration and development of GeodAIsics’ AI adapted to our Ynfectio software was quick and efficient.

Both technical teams were able to communicate effectively, bringing their respective expertise to achieve tangible and actionable results quickly.

The integration of AI modules into our epidemiology software is a true innovation that will allow us to provide significant value to our users.”

M.D. Valery BRUNEL, Biologist Pharmacist

“I would like to emphasize the performance of the highly innovative GML tools, which are particularly well-suited for medical biology analytics. Collaborating with GeodAIsics also means relying on the professionalism of their medical and scientific team.

GeodAIsics’ ability to offer personalized artificial intelligence tools is a significant asset for the future of medicine, aiding healthcare providers in patient management.”