{
  "id": 8964,
  "url": "https://doi.org/10.1038/s41598-021-82098-3",
  "title": "A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease",
  "summary": "Alzheimer's disease (AD) is the most common type of dementia. Its diagnosis and progression detection have been intensively studied. Nevertheless, research studies often have little effect on clinical practice mainly due to the following reasons: (1) Most studies depend mainly on a single modality, especially neuroimaging; (2) diagnosis and progression detection are usually studied separately as two independent problems; and (3) current studies concentrate mainly on optimizing the performance of",
  "authors": "Shaker El–Sappagh, José M. Alonso, S. M. Riazul Islam, Ahmed Sultan, Kyung Sup Kwak",
  "category": "research",
  "topics": "healthcare,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2021-01-29T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:47.097Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8964",
  "original_url": "https://doi.org/10.1038/s41598-021-82098-3",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}