A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease
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
Record details
Published: 29 January 2021
Source: OpenAlex
Category: Research
Topics: Healthcare · Transparency
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (29 January 2021), “A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease,” evidence record 8964, https://ethics.ai/record/8964 (originally published by OpenAlex).
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