Table 2.
Challenges | Solutions | Animal Research | Human Research |
---|---|---|---|
Data scarcity | Self-supervised learning, semisupervised learning, and data-centric AI | X | X |
Model interpretability | Explainable AI techniques | X | X |
Disease specificity | Multimodal models | X | X |
Spectrum bias | Improvement of recruiting methods and animal models, bias loss term, oversampling or undersampling, and synthetic data | X | X |
Development of imaging tools | Additional funding for research | X | … |
Control over environmental variables | Careful design of input features and explainable AI techniques | … | X |
Cost per image | Additional funding for research | X | … |
Privacy | Federated and swarm learning | … | X |
Abbreviation: AI, artificial intelligence;