The aim of the JAIN Challenge is to gather as much knowledge as possible about promising assistive technology in
dementia. JAIN sees healthcare technology as a tool to combat the negative impact of dementia and memory loss.
The JAIN Challenge is a biennial competition for developed technical products and services based
on artificial intelligence, which support the quality of life and self-reliance of people with dementia and their
carers and reduce the workload for professionals, relatives and carer. Prof. Erik Scherder,
Prof. Catholijn Jonker, Prof. Dick Swaab and Marco Blom (Alzheimer Netherlands)
were participating in the national JAIN challenge.
In the JAIN fieldlabs, national and international, governments, universities, applied science institutes, informal care, healthcare institutions, and companies can work together directly with the end-users, people with memory loss, and the system in which they participate, in order to develop products that meet the demands of the end-users completely.
JAIN beliefs that combining the knowledge of people with memory problems like dementia, informal carers, and healthcare professionals can lead to improvements in dementia care. For instance, professionals can inform researchers about the real needed valuable additions to care. Conversely, researchers can offer healthcare professionals the possibilities to realize these needed valuable additions.
JAIN speeds up development of
AI-driven applications:
Projects will be executed to develop Artificial Intelligence (AI) applications, to:
- improve the quality of life of people with memory loss.
- support caregivers to work more effectively, efficiently and more easily
- implement and maintain AI applications that enable caregivers to provide a better quality of service with less workload and greater satisfaction;
- develop sustainable finance by which municipalities and health insurers can help more people with a demand for care with the same costs.
JAIN Masterclasses
The JAIN Masterclass is a Masterclass focused on healthcare practice in which all relevant aspects of artificial intelligence are discussed. We inform you about the technological trends and developments and teach you how to implement them in the organization. Topics such as machine learning, deep learning and advanced AI systems and how to use them in practice are discussed.
JAIN DevLab:
Within the JAIN Devlab based on end-users design new artificial intelligence applications will be developed to improve the quality of life of patients with memory loss.
JAIN Learning Community:
Developing, implementing and maintaining Artificial Intelligence knowledge tailor-made for caregivers, care stakeholders and interested students and knowledge diffusion by organizing expert sessions, workshops, conferences, and virtual colleges national and international
Moonshot: join forces to search for AI innovations that improve quality of life
The Brain Foundation, ZonMw, MIND, JAIN and the Dutch AI Coalition join forces to search for AI innovations that improve quality of life or stop the disease process in people with a brain-wide condition
One in 4 people has a brain-related condition and this is only expected to increase in the coming decades. Artificial Intelligence is a technology that can do a lot to reduce the disease process or improve quality of life. The Brain Foundation, ZonMW, MIND, JAIN and the Dutch AI coalition have joined forces to reduce brain-related disorders by at least 5% over 5 years by using Artificial Intelligence. They jointly request product (ideas) for brain-related disorders in which Artificial Intellenge as a technology plays a prominent role.
Explicitly, we are looking for products that show the potential to make a social impact in the short term (scalable nationally and/or broaden it to multiple (brain-related) disorders) as well as product ideas that are still in the pipeline. to sit.
Empathic virtual coach for people with amnesia
This R&D project concerns the development of an application, named as “understanding virtual coach for people with amnesia”. The understanding virtual coach will take the form of a 'conversational agent', a piece of software that uses artificial intelligence to create a social interact with the patient. Unique within this proposal is that this coach will become a model keeping track of the mental state (wants, needs, emotions) of the patient, based on an automatic analysis of the conversations in combination with different sensory data ('smart sensing'). The expectation is that self-reliance and longer quality participating in society of people who suffer from amnesia will improve. The virtual coach will also contribute to the problem that will arise in the future due to the increasing shortage of healthcare personnel and the accessibility of healthcare in the home
safeguarding the living environment.
In our project proposal we want to demonstrate that monitoring and coaching behaviour is possible by means of a conversational agent in combination with smart sensing. In the project, via JAIN safeguards the essential involvement of users, so that there is a connection with the expectations, wishes and situation of the (end) user (patient, informal caregiver, healthcare staff).
Smart healthcare record based on artificial intelligence
In this research project, we want to improve methodical working and reduce the loss of time (bureaucracy) by making smarter use of the Electronic Client Files (ECD). By using advanced techniques in data science and artificial intelligence, combined with the measurement of neurophysiological and user behaviour, the proposed project maps where and how information systems can become more intelligent for a healthy perspective in public health. An essential interaction takes place between healthcare providers and scientists.
Project Objective:
Develop a Smart Care File based on the existing Electronic
Client Files (ECDs) for methodical working and continuouS
improvement based on artificial intelligence, machine learning, big data analysis and social communication technologies.
This Smart Care System will lead to:
1) improving self-management and quality of life of people with dementia and their carers;
2) reduction of the administrative burden of the healthcare worker
3) (partly) new methods and perspectives for action that allow more effective and efficient use of resources/services that lead to affordable care, in the short and long term;
4) implementation of an ECD as a valuable resource that easily offsets healthcare costs wherever they are delivered.
The care system helps employees in working methodically and in continuous improvement, thereby guaranteeing that this care and support is provided in a pleasant, safe and responsible manner.