mlsanityData to 7 Oct 2026

Large language models improve Alzheimer's disease diagnosis using multi-modality data

arXiv 2305.19280 ↗First posted 26 May 2023cs.LG cs.AI cs.CLcited by 9

Not on the map. Why?

Abstract (arXiv)

In diagnosing challenging conditions such as Alzheimer's disease (AD), imaging is an important reference. Non-imaging patient data such as patient information, genetic data, medication information, cognitive and memory tests also play a very important role in diagnosis. Effect. However, limited by the ability of artificial intelligence models to mine such information, most of the existing models only use multi-modal image data, and cannot make full use of non-image data. We use a currently very popular pre-trained large language model (LLM) to enhance the model's ability to utilize non-image data, and achieved SOTA results on the ADNI dataset.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 18 of its 31 references that are in the map. First posted on arXiv 26 May 2023.

Builds on

18 of 31 references.

References · 18

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2020Language Models are Few-Shot Learnerscited by 32,199
  4. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  5. 2023GPT-4 Technical Reportcited by 18,132
  6. 2016Densely Connected Convolutional Networkscited by 6,691
  7. 2022A ConvNet for the 2020scited by 3,545
  8. 2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processingcited by 2,222
  9. 2022Large Language Models Encode Clinical Knowledgecited by 1,807
  10. 2021EfficientNetV2: Smaller Models and Faster Trainingcited by 1,127
  11. 2023Capabilities of GPT-4 on Medical Challenge Problemscited by 630
  12. 2022Multimodal Learning with Transformers: A Surveycited by 399
6 more
  1. 2023ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Modelscited by 116
  2. 2022Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detectioncited by 19
  3. 2023DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detectioncited by 18
  4. 2023Gene Set Summarization using Large Language Modelscited by 12
  5. 2022Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classificationcited by 9
  6. 2019Multi-scale Graph-based Grading for Alzheimer's Disease Predictioncited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 4; 2025: 3; 2026: 1.

9 papers.