First 4 digital health winners in the "Medical Imaging" call for projects

Innovation

16/10/2023

4 prizewinners to help structure an imaging sector of excellence in France

Open in January 2023, the €90m "medical imaging" call for projects aims to support the development of new medical imaging equipment and innovative software or platforms that will enrich the analysis of collected data.
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The four winning projects in the first wave of the scheme represent an industrial investment of €16.1 million, including almost €10 million in public funding. The selected projects address major public health imperatives and involve technologies that will be at the heart of medical decisions.

The winners

Project: Holodoppler

Project sponsors

  • Quantel Medical
  • CHN d'Ophtalmologie des 1520
  • L'Hôpital Fondation Adolphe de Rothschild
  • ESPCI Paris

Project description

Develop an optical Doppler measurement device using digital holography to quantify ocular hemodynamics and improve the diagnosis and monitoring of glaucoma and hypertension. The aim is to develop a non-invasive medical device capable of quantitatively measuring ocular blood flow with satisfactory temporal and spatial resolution.

Aid amount

  • €2.8 million

Project: Heart Focus

Project sponsor

  • DESKi

Project description

Develop new software building blocks and accelerate the commercialization of their AI-based cardiac ultrasound guidance software device. The aim is to help healthcare professionals perform cardiac ultrasound examinationsto meet the strain exerted by rising demand for care.

Amount of assistance

  • 2 M€

Project: Cervix

Project sponsors

  • Primaa
  • MEDIPATH
  • AP-HP, Assistance Publique - Hôpitaux de Paris

Project description

Develop diagnostic AI solutions capable of accurately characterizing cervical lesions for anatomo-cytopathologists.

Aid amount

  • 3 M€

Project: VisioThyroid

Project sponsors

  • VitaDX
  • MEDIPATH

Project description

Develop an AI solution to aid thyroid cancer diagnosisintegrating image processing algorithms for use by anatomo-cytopathologists. The aim is to improve the detection rate and reduce the number of lobectomies and thyroidectomies wrongly performed.

Amount of assistance

  • 2 M€
Visit the winners page