Long-COVID diagnosis: From diagnostic to advanced AI-driven models

•Among COVID-19 survivors, a fraction of patients reports persistent symptoms related to multiorgan involvement.•Time and resources will be needed to help clinicians understand and manage long-term COVID-19 sequelae.•AI in COVID-19 is promising for different tasks, including image analysis, decision-making and prognosis prediction. SARS-COV 2 is recognized to be responsible for a multi-organ syndrome. In most patients, symptoms are mild. However, in certain subjects, COVID-19 tends to progress more severely. Most of the patients infected with SARS-COV2 fully recovered within some weeks. In a considerable number of patients, like many other viral infections, various long-lasting symptoms have been described, now defined as “long COVID-19 syndrome”. Given the high number of contagious over the world, it is necessary to understand and comprehend this emerging pathology to enable early diagnosis and improve patents outcomes. In this scenario, AI-based models can be applied in long-COVID-19 patients to assist clinicians and at the same time, to reduce the considerable impact on the care and rehabilitation unit. The purpose of this manuscript is to review different aspects of long-COVID-19 syndrome from clinical presentation to diagnosis, highlighting the considerable impact that AI can have.