'They have collected data from 2016 to 2022 that indicated that the incidence of venous thromboembolic disease during the COVID-19 pandemic was very striking, with a clear increase in incidence in 20, which allowed us to accurately draw the pandemic waves with only the data extracted from a single question, which was whether they had had a venous thromboembolic disease,' said Martín. 'As healthcare professionals, we must train ourselves on these new technologies and implement them in our daily practice, bearing in mind that this is no easy task.' This symposium highlighted the opportunity that AI provides, in terms of health outcome programs that help improve the quality of life of patients with thrombosis, thereby optimizing the efficiency of our health system. Rosa Vidal, MD, of the Jiménez Díaz Foundation University Hospital in Madrid, Spain, and Adrián Mosquera, MD, PhD, of the Santiago de Compostela University Clinical Hospital in Coruña, Spain, coordinated the symposium of the 64th National Congress of the Spanish Society of Hematology and Hemotherapy (SEHH). These emerging tools require more trained staff and patient input to become established in clinical practice. These challenges include obtaining quality data and good explicability without loss of accuracy. MADRID, Spain - Artificial intelligence (AI) algorithms in thrombosis are complex and face several challenges.
