AI for Neurodegenerative Diseases
Chair: Mah Parsa
- deep learning
- machine learning
About two percent of the world's population suffers from various types of mental health disorders. Furthermore, more than 50 million people worldwide are living with different types of neurodegenerative dementias including Alzheimer’s disease (AD). Early detection of mental health disorders and dementia would help patients seek out different intervention programs, as well as clinical interventions so that they can maintain their quality of life at the normal level.
The size of the above problems and their global effect requires international and multidisciplinary collaborations that address the needs of underserved patient populations without access to costly care in the hands of sparsely available specialists such as psychiatrists. To fill these gaps in a cost-effective and scalable manner, it is critical to foster research partnerships that result in the development of Artificial Intelligence (AI)-driven solutions to measure, diagnose, and treat mental and neurodegenerative disorders.
We aim to discuss ongoing projects for:
- Signal processing for biosignals related to mental disorders and neurodegenerative diseases
- Developing machine learning (ML) and deep learning (DL) based systems in doing early detection of mental disorders and neurodegenerative diseases
- Developing AI approaches adopting the principles of ethics in mental disorders and neurodegenerative diseases
- Developing explainable-AI approaches for prognosis of mental disorders and neurodegenerative diseases
- Developing AI approaches by adapting transfer learning strategies for the diagnose, prognosis and treatment of mental disorders and neurodegenerative diseases
By providing a comprehensive discussion on the above topics, the workshop will allow mental health professionals such as psychologists, psychiatrists and mental health counselors and researchers in the field of mental disorders and neurodegenerative diseases expand their knowledge regarding ongoing AI research projects and innovative AI applications. It also offers breathtaking advantages for the AI community to improve their apps by receiving valuable real-world feedback from clinical audiences.
We expect to strengthen the collaboration between scientists and researchers from the computer science domain, in particular ML researchers in the field of speech, natural language and image processing and neurologists and mental health professionals. We also intend to motivate industry labs to financially and technically support research projects related to mental disorders and neurodegenerative diseases.
We assume holding the workshop can encourage principal investigators at universities to currently employ services for the early diagnosis, treatment, and management of mental disorders and neurodegenerative diseases
Additionally, the workshop will:
- Enhance mental health experts' knowledge with learning about state-of-the-art ML tools;
- Provide valuable feedbacks for AI experts from neurologists and mental health professionals;
- Fill the gap between neurologists and mental health professionals and ML practitioners;
- Make a bridge between industrial researchers, academic research scientists, and young AI entrepreneurs working in the field of mental disorders and neurodegenerative diseases
International neurologists and mental health professionals, neuroscientists, psychiatrists, and computer scientists (in particular ML scientists and data scientists) are the main groups of the workshop's audience. Attendance of the workshop will provide them a unique chance to start multidisciplinary, international cutting-edge research collaborations that could lead to original and innovative AI-based solutions for mental disorders and neurodegenerative diseases. Students and trainees from different disciplines can learn about advanced tools by attending this workshop.
We will endeavor to organize a one-day interactive workshop that will be started by keynote speakers to present:
Challenges in diagnosing and/or quantitatively detecting neurodegenerative diseases and Alzheimer’s. and ML-based diagnostic/measurement systems that can mitigate these challenges.
The workshop will include lightning talks on the topic of analysis of neuroimaging datasets for neurodegenerative diseases and Alzheimer’s, as well as a description of newly developed AI systems and ML algorithms that could be useful to analyze neuroimaging datasets.
One of the exciting parts of our workshop is group discussions to review how the state-of-the-art AI systems and ML algorithms can be utilized for:
Early detection, diagnosis, measurement, and treatment of mental and neurodegenerative disorders;
Ongoing support of people living with neurodegenerative diseases and Alzheimer’s;
Efficient processing of large amounts of clinical data related to neurodegenerative diseases and Alzheimer’s;
Detecting racism from texts, speech, and its effect on individuals' mental health (we aim to describe AI community efforts to develop AI systems to address mental health disparities);
Fairly diagnosing neurodegenerative diseases and Alzheimer’s.
We will have two panel discussions: 1) an academy panel discussion and 2) an industry panel discussion to discuss the following questions:
What are some of the different ways AI can be used for neurodegenerative diseases such as Alzheimer’s ? (including, , prediction, diagnostics and prognostics)
How can we develop AI applications for neurodegenerative diseases such as Alzheimer’s when there is not enough evidence-based information or peer-reviewed science?
How did you manage to get access to neurodegenerative diseases such as Alzheimer’s datasets?
What is your approach to ensuring fairness in ML-based assessment tools for dementia and Alzheimer’s?
What are the practical barriers to the implementation of AI for neurodegenerative diseases such as Alzheimer’s?
How can investors and other market participants assess the feasibility, viability, and desirability of mental healthcare-focused AI products?
The two panel discussions will aim to fill the gap between neurologists and senior researchers in mental healthcare and industrial leaders in AI. Also, to discuss AI entrepreneurs can effectively collaborate with psychiatrists, neurologists to use AI to detect neurodegenerative diseases. We also aim for such panels to encourage students in psychiatry, psychology, neuroscience and computer scientists, and share their innovative ideas with entrepreneurs to develop amazing AI systems to detect neurodegenerative diseases such as AD.
In addition to the sessions mentioned above, we will offer two poster sessions during lunch and coffee breaks. Finally, we will wrap up the workshop by announcing awards for the “best” lightning talk and poster presentation and the “best” reviewer.