Summary
- Profile Type
- Technology offer
- POD Reference
- TOES20231110011
- Term of Validity
- 10 November 2023 - 9 November 2024
- Company's Country
- Spain
- Type of partnership
- Research and development cooperation agreementCommercial agreement with technical assistance
- Targeted Countries
- All countries
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General information
- Short Summary
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A Spanish center offers its software that uses video-based visual tracking and neural network models to enhance early detection of autism in children, achieving high levels of accuracy. It relies on variables derived from visual tracking and can adapt and improve with additional data. Its primary application is the early diagnosis of autism spectrum disorder (ASD) in children.
The center seeks commercial agreement with technical assistance and/or research and development cooperation agreement. - Full Description
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A Spanish researcher center has developed an innovative tool focused on improving the early detection of autism spectrum disorder (ASD) in children through the visual tracking of videos. The research group has extensive experience in the development of models and methods in the field of heuristic optimization, data mining and artificial intelligence.
The process begins by presenting a series of specially designed videos to the children. While these videos are being viewed, visual tracking technology is employed to record and analyse in real-time where the children are directing their gaze.
The data collected from this visual tracking is translated into a set of variables, which are used as input for artificial neural network models. These models have the ability to learn and detect complex patterns in the visual tracking data. Moreover, variable selection techniques are incorporated to ensure the robustness of the models and enhance their accuracy.
One of the most notable advantages of this tool is its capacity to adapt and improve over time as more data accumulates. This ensures that the system can continuously fine-tune itself and maintain consistent accuracy in detecting ASD.
The primary application of this tool is to provide accurate diagnoses of ASD in children, even at early ages. Early identification of ASD is essential, as it allows for timely intervention and the early commencement of therapies and support, which can significantly improve the long-term prognosis for children with ASD.
In addition to its clinical diagnostic use, this tool also has implications for ASD research, as it can help better understand the visual patterns associated with the disorder.
The research center is looking for commercial agreement with technical assistance and/or research and development cooperation agreement. - Advantages and Innovations
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The main advantages and innovation of this technology are:
• Early and accurate detection: Enhances the early and precise detection of ASD in children.
• Objectivity and efficiency: Provides objective diagnoses, minimizing bias, and saving time and resources compared to traditional methods.
• Adaptability: Can improve with additional data while maintaining precision.
• Supports research: Contributes to research on ASD.
The tool for improving autism diagnosis through visual tracking of videos include the use of eye-tracking technology to record children's gaze during video viewing, the implementation of artificial neural network models for the analysis of visual tracking data, the use of variable selection techniques to ensure model robustness and precision, and the capability for adaptation and continuous improvement with the addition of new data.
Additionally, it exhibits promising potential for use in telemedicine environments and clinical and research applications related to autism. Expertise in the development and implementation of systems based on artificial neural networks, as well as in the collection and analysis of visual tracking data, is sought.
Furthermore, knowledge in the field of autism is required, along with the ability to ensure that the
tool complies with the necessary ethical privacy standards in clinical research and diagnosis. - Stage of Development
- Available for demonstration
- Sustainable Development Goals
- Goal 3: Good Health and Well-being
Partner Sought
- Expected Role of a Partner
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This software employs video-based visual tracking and neural network models to enhance early and accurate detection of Autism Spectrum Disorder (ASD) in children. It gathers data on how children focus their gaze while watching videos and utilizes this information to provide objective diagnoses of ASD, even at early ages. The tool is adaptable and can improve with additional data.
This tool holds promise for use in clinical, educational, and research environments related to autism.
In addition, they are looking for a research groups and research institutions to collaborate to transfer and bring the technology to the next level and, additionally, apply for European funds. - Type and Size of Partner
- Big companySME <=10UniversitySME 50 - 249OtherR&D InstitutionSME 11-49
- Type of partnership
- Research and development cooperation agreementCommercial agreement with technical assistance
Call details
- Coordinator required
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Yes
Dissemination
- Technology keywords
- 01003005 - Computer Hardware006001002 - Care and Health Services06001005 - Diagnostics, Diagnosis
- Market keywords
- 02007012 - Medical/health software02007022 - Software services005001002 - Medical imaging
- Sector Groups Involved
- Health
- Targeted countries
- All countries