Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation

BACKGROUND: Few studies have investigated the collaborative potential between artificial intelligence (AI) and pulmonologists for diagnosing pulmonary disease. We hypothesised that the collaboration between a pulmonologist and AI with explanations (explainable AI (XAI)) is superior in diagnostic int...

Descripción completa

Detalles Bibliográficos
Autores principales: Das, Nilakash, Happaerts, Sofie, Gyselinck, Iwein, Staes, Michael, Derom, Eric, Brusselle, Guy, Burgos, Felip, Contoli, Marco, Dinh-Xuan, Anh Tuan, Franssen, Frits M.E., Gonem, Sherif, Greening, Neil, Haenebalcke, Christel, Man, William D-C., Moisés, Jorge, Peché, Rudi, Poberezhets, Vitalii, Quint, Jennifer K., Steiner, Michael C., Vanderhelst, Eef, Abdo, Mustafa, Topalovic, Marko, Janssens, Wim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2023
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196345/
https://www.ncbi.nlm.nih.gov/pubmed/37080566
http://dx.doi.org/10.1183/13993003.01720-2022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196345/
https://www.ncbi.nlm.nih.gov/pubmed/37080566
http://dx.doi.org/10.1183/13993003.01720-2022

Ejemplares similares