Thinking outside the box: unconventional artificial intelligence algorithms in the detection and management of liver cirrhosis

A significant proportion of liver patients present withadvanced stages at the time of diagnosis [1] leading toimpaired prognosis and reduced survival probabilities [2].Unsurprisingly, a diagnosis of cirrhosis is independently asso-ciated with all-cause in-hospital mortality [3]. Current path-ways rely on primary care physicians proactively screeningpatients for hepatic fibrosis using dedicated tools, which canbe suboptimal [4]. Artificial Intelligence (AI) is gaining globalattention in the medical field and beyond, with researchexpanding and evolving exponentially. Hence, leveragingeasily applicable AI models based on widely available routinetests may enhance early detection resulting in timely interven-tion and reduction in mortality