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Dutch Youth Healthcare (YHC) routinely monitors the developmental milestones of children aged 0-4 years using the Dutch Development Instrument (DDI), known in Dutch as Van Wiechenonderzoek. YHC professionals observe these milestones during routine visits to track development and identify potential delays due to disorders such as Duchenne Muscular Dystrophy and Developmental Language Disorder. Despite aiming for early detection, the DDI can miss subtle patterns or abnormalities in movement, speech, and language behavior, leading to late identification of developmental delays and missed opportunities for early intervention and treatment. Efforts to address these issues have focused on providing instructional videos for parents. A more advanced solution involves using artificial intelligence (AI) technologies to enable a multi-modal approach, capturing a wider range of digital biomarkers. By applying AI to video and speech data to capture visual (movements) and auditory (sounds) cues, abnormalities are expected to be detected at an earlier stage.
Our previous research explored the attitudes, needs, and concerns of parents, healthcare professionals (including YHC professionals), and YHC managers regarding AI's use in monitoring children’s development as a prerequisite for its potential successful implementation and usage. The results showed generally positive attitudes towards AI, recognizing its potential to enhance efficiency, support healthcare professionals, and improve monitoring. While AI algorithms for movements and sounds are available, they need further refinement to improve accuracy for detecting developmental disorders.
You will be part of the Child Health team located at TNO in Leiden. You will study how an AI-driven system for early detection of developmental disorders can be used in daily practice by parents, YHC professionals, physiotherapists, speech therapists, clinicians, and other healthcare professionals to detect developmental disorders early by developing and testing a demo. This study aims to provide a conceptual framework of the system's potential design. It will help to get insight into the entire process, from start to end, and offer insights into the system’s use and technology.
You will work on developing and fine-tuning AI algorithms for movements based on available video data from children with Duchenne Muscular Dystrophy provided by the Duchenne Parent Project and children with normal development provided by TNO.
You want an internship opportunity on the precursor of your career; an internship gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Furthermore, we provide:
At TNO, we innovate for a healthier, safer and more sustainable life. And for a strong economy. Since 1932, we have been making knowledge and technology available for the common good. We find each other in wonder and ingenuity. We are driven to push boundaries. There is all the space and support for your talent and ambition. You work with people who will challenge you: who inspire you and want to learn from you. Our state-of-the-art facilities are there to realize your vision. What you do at TNO matters: impact makes the difference. Because with every innovation you contribute to tomorrow’s world.
At TNO we encourage an inclusive work environment, where you can be yourself. Whatever your story and whatever unique qualities you bring to the table. It is by combining our unique strengths and perspectives that we are able to develop innovations that make a real difference in society.
Email: paula.vandommelen@tno.nl
Telefoon: +31 88 866 62 21
Dr. Paula van Dommelen is a senior scientist and statistician. Her main focus has been on the development of technological innovations and data science to protect and improve child health worldwide. This includes the development of innovative statistical, personalized child health care applications, frameworks for decision support systems, youth health care guidelines, implementation strategies, and research on mental and physical child health.
Innovation with purpose: that is what TNO stands for. We develop knowledge not for its own sake, but for practical application. TNO connects people and knowledge to create innovations that boost the competitive strength of industry and the well-being of society in a sustainable way.
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