Remigiusz Szczepanowski, Izabella Uchmanowicz, Aleksandra H Pasieczna-Dixit, Janusz Sobecki, Radosław Katarzyniak, Grzegorz Kołaczek, Wojciech Lorkiewicz, Maja Kędras, Anant Dixit, Jan Biegus, Marta Wleklik, Robbert J J Gobbens, Loreena Hill, Tiny Jaarsma, Amir Hussain, Mario Barbagallo, Nicola Veronese, Francesco C Morabito, Aleksander Kahsin
Prevention and diagnosis of frailty syndrome (FS) in patients with heart failure (HF) require innovative systems to help medical personnel tailor and optimize their treatment and care. Traditional methods of diagnosing FS in patients could be more satisfactory. Healthcare personnel in clinical settings use a combination of tests and self-reporting to diagnose patients and those at risk of frailty, which is time-consuming and costly. Modern medicine uses artificial intelligence (AI) to study the physical and psychosocial domains of frailty in cardiac patients with HF...
March 26, 2024: Advances in Clinical and Experimental Medicine: Official Organ Wroclaw Medical University