Boneview-ED - Impact of Artificial Intelligence Detecting Fractures in the Emergence Department : a Pragmatic Prospective Study

Traumatic emergencies are the primary reason for consultation in emergency departments and standard radiography is the primary imaging exam for osteoarticular trauma. However, with the increase in the number of patients admitted to emergency departments and thus the increased workload for emergency room attendants, Interpretation of radiographs in trauma emergencies is made more difficult, resulting in a high risk of misinterpretation. The growing presence of artificial intelligence in the medical field, notably through the involvement of diagnostic software on imageries, makes its use more relevant in the aid of the replay of osteoarticular imageries. A recent meta-analysis of 32 studies evaluating the performance of artificial intelligence in fracture detection found comparable performance between experienced radiologists and AI-based diagnosis. However, these were mainly retrospective studies, and thus more distant from the reality of its use in a care stream such as emergencies. The objective of this study is therefore to prospectively validate the use of artificial intelligence software during its implementation in an emergency department for patients admitted for a suspicion of osteoarticular trauma.

NCT Number	NCT06013852
Lead Sponsor	University Hospital, Angers
Conditions	Fractures, Bone
Enrollment	1,600 participants
Start Date	2024-07-22
Primary Completion	2025-01-21 (estimated)
Study Completion	2025-01-21 (estimated)
Updated on ClinicalTrials.gov	2024-08-26