33rd Alzheimer Europe Conference
The 33rd Alzheimer Europe Conference will take place in Helsinki from 16 to 18 October 2023. Organized by Alzheimer Europe and Muistiliitto (the Alzheimer’s Society of Finland), the conference will focus on “New opportunities in dementia care, policy and research.”
The event aims to gather people living with dementia, their families, caregivers, Alzheimer associations, policy makers, health and social care professionals, researchers, academics, and industry representatives from Europe and beyond. This inclusive conference offers networking for experts across Europe and beyond, with both in-person and remote participation options available. Don’t miss the chance to be part of these vital discussions shaping the future of dementia care.
AI-Mind is set to make a significant mark with a range of conference contributions, including oral presentation on 18 October, two quick-oral presentations on 17 October and five scientific posters, showcased on the last day of the conference, Wednesday 18 in the Valo-Säde-Kajo room.
Read the news piece to learn more and download the flyer with an overview of AI-Mind presentations and posters under this link: https://www.ai-mind.eu/wp-content/uploads/sites/39/2023/10/AI-Mind_presentations-and-posters_flyer_AEC_2023.pdf
| Quick-Oral presentation QOP2-11 |
Rabindra Khadka | Learning visual concepts to enhance the interpretability of EEG signals as markers of Alzheimer’s disease | Date 16/10/2023, Time 17:00 – 18:15 Session: QOP2. Technology and dementia: 17:50 – 17:55 Room: 204/205 |
| Quick-Oral presentation QOP4-07 | Pietro Refolo | The ethical relevance of explainability for AI solutions for early diagnosis of dementia | Date: 17/10/2023, Time: 12:00 – 13:00 Session QOP4. Ethical and legal issues Room 204/205 |
| Oral presentation | Ana Perez | Classifications of MCI and its potential selection- bias in an AI-based modelling | Date: 18/10/2023, Time: 14:00 – 15:15 Session P38. Clinical trial recruitment and retention: 15:00 – 15:15 Room 103A |
| Poster POS4-135 | Ramesh Upreti | The potential of synthetic EEG data in the diagnosis of neurological diseases using AI systems | Date: 18/10/2023 Room: Valo-Säde-Kajo Poster POS4. New opportunities in treatment and management |
| Poster POS4-27 | Mats Tveter | Exploring Deep Learning for EEG Analysis: A Practical Approach to Uncertainty Modeling and Frequency-Based Explainability | Date: 18/10/2023 Room: Valo-Säde-Kajo Poster POS4. New opportunities in treatment and management |
| Poster POS4-26 | Mohamed Radwan | Multivariate time series classification of EEG data | Date: 18/10/2023 Room: Valo-Säde-Kajo Poster POS4. New opportunities in treatment and management |
| Poster POS4-28 | Thomas Tveitstøl | Generalising Deep Learning Methods to Handle a Varied Number of Electrodes for Processing EEG | Date: 18/10/2023 Room: Valo-Säde-Kajo Poster POS4. New opportunities in treatment and management |
| Poster | Claudia Carrarini | Artificial intelligence tool for Alzheimer’s Disease diagnosis | Date: 18/10/2023 Room: Valo-Säde-Kajo Poster POS4. New opportunities in treatment and management |
For more details: visit the page