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Editorial: Implementing Risk Assessment Tools for MetALD in Clinical Practice—Authors' Reply

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Editorial highlights pathways for integrating risk stratification tools in MetALD using AI and NITs.

The editorial discusses optimizing risk stratification for metabolic and alcohol-associated liver disease (MetALD).
Key tests like FIB-4 may underperform, suggesting alternatives such as SAFE score or ELF that target significant fibrosis.
Integrating new tools could reduce clinician workload and improve patient outcomes, as supported by real-world data from the UK.
AI may enhance decision-making in clinical pathways, although barriers to implementation still need to be addressed.

Torp et al. (2025) studied this question.

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