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AI The engine of transformation into radiology
Carried by theArtificial Intelligence (AI) Who optimizes the diagnosis and management of patients, medical imaging, already very peak, is experiencing a stage of development. Facing a growing examination and a shortage of radiologistsAI becomes a strategic lever to improve operational efficiency and accuracy of analyzes.
It is in this context that Gleamer structures its development around an integrated model. With the acquisition of Pixell (specialist in neurological MRI) and Caerus Medical (musculoskeletal analysis by MRI)the company expands its field of action and is positioned as The first actor to offer a complete suite covering all the imaging methods.
Strategic consolidation to unify AI in radiology
Until now, the IA market in radiology has been fragmented, each actor specializing in a specific imaging modality (radiography, scanner, MRI) as radioobotics (musculoskeletal radiographs) or annalizes Enterprise CXR (thoracic radiographs). If this segmented approach has allowed to develop very advanced multiple solutions, the question arises of the integration limit and complicates large -scale adoption.
With this double acquisition, Gleamer makes a paradigm shift by unifying under the same platform radiography, mammography, scanner and MRI. This consolidation allows him to meet the needs of Hospitals and imaging centers who seek interoperable solutions, capable of optimizing workflows and improving the Diagnostic coherence On all exams.
By integrating Pixel.neuroGleamer is attached a recognized expertise in the analysis of brain MRI, a key segment with direct applications in the early detection of neurodegenerative pathologies (Alzheimer, multiple sclerosis). Caerus Medicalfor its part, brings a significant advance in the interpretation of lumbar MRIs, an area where standardization and automation of diagnosis remain a central issue.
To an industrial standard from AI in medical imaging
Gleamer’s ambition exceeds the simple extension of its solutions portfolio. By structuring a Owner offer covering all imaging termsthe company aims at Create an industrial standard Around an integrated AI, capable of adapting to the requirements of health establishments.
Three elements structure this approach:
- Interoperability and clinical integration : Ensure fluid compatibility with existing hospital systems.
- Continuous improvement of IA models : Take advantage of an extended database to refine the accuracy of algorithms.
- Global scope : accelerate the adoption of the AI in radiology, in particular to UNITED STATESwhere reimbursement systems facilitate the integration of these solutions.
Gleamer’s development was supported by several Structuring fundstotalizing 36 million euros. In 2018the startup achieves a seed of 1.5 million euros with Xange, Elaia and Bpifrancesupplemented by business angels. Two years later, in 2020she lifts 7.5 million euros in series Amarking a key step for the industrialization of its solutions. In 2023a tour of 27 million euros in series B comes to strengthen its positioning, with the support of Supernova Invest, Xange, Elaia, Heal Capital and Bpifrance. Latest funding, as part of the program France 2030Gleamer benefits 4.5 million euros for the development ofOncoVieW.
Gleamer was created in 2017 by Christian Allouche, Healthtech entrepreneur, and Alexis Ducarouge, an artificial intelligence expert applied to radiology.
