[Correspondence] Artificial intelligence and spillover prediction: aligning innovation with empirical reality in One Health surveillance – Authors' reply

In our recent Comment,1 we suggest that different artificial intelligence (AI) applications might improve our ability to predict hotspots for risk-based surveillance and improve prediction of novel pathogens in metagenomes from such surveillance, potentially including host range, disease profiles, and transmission efficacy. We also highlight that AI is unlikely to be the solution to all problems. In their Correspondence, Nader Ebrahimi and Amir Ghaemi argue that we overstate the current predictive capacities and underplay methodological challenges.