Deep learning and radiography in the ER – Study results | March 2023
“ASSESSMENT OF A COMBINED MUSCULOSKELETAL AND CHEST DEEP LEARNING-BASED DETECTION SOLUTION IN AN EMERGENCY SETTING”.
A. Parpaleix | C. Parsy | M. Codari | M. Mejdoubi
Publication : arch 2023| European Journal of Radiology Open.
Parterns : Milvue, Centre Hospitalier de Valenciennes et Arterys.
Approximately 40% of patients who visit the emergency department undergo medical imaging, with conventional radiography the most frequently prescribed examination (71% of cases). Because of the large number of patients and the small number of radiologists in hospital, on average 82% of emergency X-rays are now interpreted off-line by radiologists, rather than directly during the emergency examination.
Could Artificial Intelligence in medical imaging help emergency services to sort and diagnose patients?