This is a very interesting paper and exploring some new possibilities to support decision-making, in treating patients with severe trauma. I can see the value of decision trees if they are well validated with large samples over long periods of time and also .across different countries and settings. But I am unclear where AI comes into this exactly. References is made to AI tools but it is not explained what the AI aspects are exactly - how does it work and what are the outputs? does it make suggestions to the nurse aboit patient care, highlighting the relevant data that backs that up? It seems much more explanation is needed of how the DT findings translate into usable form. What if the advice of such tools was in conflict with nurse's own judgement / experience, for example? It seems like a promising technique but many 'minefields' to negotiate ethically, legally and in nurse education/training. perhaps it also has the potential to deskill nurses or allow their partial replacement with lesser trained roles? That may not be the intention but it may be a risk?