Performance of an artificial intelligence tool with real-time clinical workflow integration – Detection of intracranial hemorrhage and pulmonary embolism. (March 2021)

• Record Type: Journal Article
• Authors: Buls, Nico; Watté, Nina; Nieboer, Koenraad; Ilsen, Bart; de Mey, Johan
• Is Part Of: Physica medica. Volume 83(2021)
• Page Start: 154
• Page End: 160
• Publication Date: 2021-03
• Subjects: Medical physics -- Periodicals; Biophysics -- Periodicals; Biophysics -- Periodicals; Imagerie médicale -- Périodiques; Radiothérapie -- Périodiques; Rayons X -- Sécurité -- Mesures -- Périodiques; Physique -- Périodiques; Médecine -- Périodiques; 610.153
• DOI: 10.1016/j.ejmp.2021.03.015
• Languages: English
• ISSNs: 1120-1797

Abstract

Highlights: Intra-cranial hemorrhage and pulmonary embolism are life-threatening pathologies. CT imaging is essential to confirm diagnosis. In a real-time clinical setting AI shows the potential to rule out ICH and PE. The positive predictive value of AI remains moderate. AI has the potential to assist radiologists and serve as real-time clinical adjunct.