Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

• Published in: Insights into imaging Vol. 12; no. 1; p. 80
• Main Authors: Antwi, William Kwadwo, Akudjedu, Theophilus N., Botwe, Benard Ohene
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 16.06.2021; Springer Nature B.V; SpringerOpen
• Subjects: Africa; Artificial intelligence; Content analysis; Diagnostic Radiology; Employment security; Equipment costs; Imaging; Internal Medicine; Interventional Radiology; Medical imaging; Medicine; Medicine & Public Health; Neuroradiology; New technology; Online surveys; Original; Original Article; Qualitative analysis; Qualitative research; Qualitative study; Radiation dosage; Radiography; Radiology; Training; Ultrasound; Africa; Radiography; Medical imaging; Qualitative study; Artificial intelligence; Online surveys; Africa

Purpose Studies have documented the clinical potentials of artificial intelligence (AI) in medical imaging practice to improving patient care. This study aimed to qualitatively explore the perception of radiographers relating to the integration of AI in medical imaging practice in Africa. Methods Th...