Summary of Deep Insights Into Cognitive Decline: a Survey Of Leveraging Non-intrusive Modalities with Deep Learning Techniques, by David Ortiz-perez et al.
Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
by David Ortiz-Perez, Manuel Benavent-Lledo, Jose Garcia-Rodriguez, David Tomás, M. Flores Vizcaya-Moreno
First submitted to arxiv on: 24 Oct 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This survey reviews deep learning techniques for automating cognitive decline estimation using non-invasive speech, handwriting analysis, and visual processing. The review covers key features and advantages of each modality, including Transformer architecture and foundation models. It also discusses works that integrate modalities to develop multimodal models and presents significant datasets and quantitative results. The survey concludes that textual modality achieves the best results for detecting cognitive decline and combining approaches enhances performance across scenarios. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Cognitive decline is a natural part of aging, but some people experience it more severely due to disorders like Alzheimer’s disease. Detecting this decline early can help with professional intervention. Medical data can be used, but invasive procedures are often needed. An alternative approach uses non-invasive techniques like speech or handwriting analysis. This survey looks at deep learning methods for detecting cognitive decline using these techniques. It reviews different approaches and their advantages, including combining methods to get better results. |
Keywords
» Artificial intelligence » Deep learning » Transformer
