P3D Endoscopy
Financiado
Polarized 3D Endoscopy
The proliferation of artificial intelligence (AI) has led to a major advancement in many fields. It has enabled achieving non-precedent achievements such as human-level image recognition, intelligible language translation, and acc...
The proliferation of artificial intelligence (AI) has led to a major advancement in many fields. It has enabled achieving non-precedent achievements such as human-level image recognition, intelligible language translation, and accurate medical diagnosis. The main research goal of the PI’s ERC-StG SPADE project is to use tools for data modelling to improve our understanding and usage of deep learning (DL) and thus enhance its performance in medical problems and computational imaging [1-4]. One of the fields that could greatly benefit from such progress is sensitive medical treatment, using AI-based medical devices. Such devices can initially assist the physicians with a more accurate diagnosis, and potentially save lives. As such technology matures, the information provided to the physicians will be richer, thus, leading to more accurate diagnoses to the cases at hand. Such advancement will allow high quality and efficient treatment to a much wider public. The scope of this POC is to apply intelligent optical imaging methods developed in the SPADE project, specifically, for introducing reliable 3D and polarization information to medical imaging devices.
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Duración del proyecto: 17 meses
Fecha Inicio: 2023-10-01
Fecha Fin: 2025-03-31
Fecha Fin: 2025-03-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-10-01
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2022-POC2:
ERC PROOF OF CONCEPT GRANTS2
Cerrada
hace 2 años
Líder del proyecto
TEL AVIV UNIVERSITY
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5