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Table 2 Research Questions

From: Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection

RQ

Research questions

Motivation 

RQ1

What AI systems are available for AD research that incorporate LIME and SHAP?

Understanding black-box models employed in AD detection that utilise LIME and SHAP for improved clinical fidelity

RQ2

What are the different input modalities used by LIME and SHAP for AD detection?

Understanding comprehensively supported input modalities for these XAI frameworks

RQ3

What are the benefits of using LIME/SHAP for AD detection?

Exploring practicality of employing XAI tools to elucidate AD predictions and their implications within the medical community

RQ4

What are the limitations and challenges, and future prospects of LIME and SHAP in AD detection?

To comprehend the fundamental capabilities and limitations, as well as to identify research gaps that prompt further research