Diagnostic errors of nasal fractures in the emergency department: A monocentric retrospective study

Rebours, Céleste; Glatre, Romain; Plaisance, Patrick; Dohan, Anthony; Truchot, Jennifer; Chauvin, Anthony

doi:10.5847/wjem.j.1920-8642.2022.014

Cited by 3 publications

(4 citation statements)

References 24 publications

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“…The researchers pay attention to the fact that among the entire range of facial bones fractures, a fracture of the nasal bones is one of the most common. At the same time, the artificial intelligence use largely removes the difficulties of conducting X-ray studies and images reading that arise due to the presence of haematomas characteristic of the described type injuries [20]. The researchers' conclusions are fundamentally consistent with the results obtained in this scientific work.…”

Section: Analysis Of the Accuracy Of The Tests Without Using The Ai P...supporting

confidence: 75%

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Artificial intelligence effectivity in fracture detection

Boginskis,

Zadoroznijs,

Cernavska

et al. 2023

Med. perspekt.

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The scientific study aimed to explore the practical implementation of artificial intelligence (AI) technologies in radiology and traumatology for fracture detection, as well as evaluate their overall effectiveness in modern medicine. In recent years, AI has gained significant traction in the healthcare industry, enabling the analysis of patients' clinical data and facilitating disease diagnosis, monitoring, risk assessment, and surgical intervention possibilities. The relevance of the scientific work is in the gradual expansion of practical applications of artificial intelligence technologies in medicine, particularly in radiology for diagnosing fractures. The study aimed to investigate the practical effectiveness of AI technology in fracture detection on example of Hospital of Traumatology and Orthopaedics in Riga, Latvia. The methodological approach combined system analysis of AI system implementation in modern medical institutions for creating X-ray images with a clinical study of fracture diagnosis experience at the Hospital of Orthopedics and Traumatology in Riga, Latvia. Fractures were detected by radiologists, attending physicians, and the AI program, with comparisons made between them. Results were analyzed to assess the program's efficacy. The results of the study demonstrated the high effectiveness of AI technologies in fracture detection. The application of these systems in clinical practice led to a significant reduction in diagnostic errors (by 2-3 times) and an increase in diagnostic accuracy (from 78.1% to 85.2%). Moreover, AI systems proved to be capable of detecting fractures that were not initially identified during routine examinations by paramedics and medical practitioners. This emphasized the practicality of expanding the use of these systems in clinical practice. The practical significance of the obtained results is in their potential use in the development of software systems based on AI, aimed at enhancing fracture diagnosis in medical institutions. These findings provided valuable insights for further advancements in AI-based technologies for fracture detection.

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Section: Analysis Of the Accuracy Of The Tests Without Using The Ai P...supporting

confidence: 75%

“…The subject of doctors' mistakes in the fractures diagnosis was developed by Rebours [20]. The researchers pay attention to the fact that among the entire range of facial bones fractures, a fracture of the nasal bones is one of the most common.…”

Section: Analysis Of the Accuracy Of The Tests Without Using The Ai P...mentioning

confidence: 99%

Artificial intelligence effectivity in fracture detection

Boginskis,

Zadoroznijs,

Cernavska

et al. 2023

Med. perspekt.

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show abstract

“…Les radiographies ont une sensibilité (64,9 % [écart type: 4,8 %]) et une spécificité (67,8 % [écart type: 4,7 %]) faibles pour la détection des fractures du nez chez la patientèle adulte et pédiatrique, et ne modifient pas la prise en charge clinique 1 . C’est l’examen physique qui constitue la norme pour le diagnostic des fractures du nez 2 .…”

Section: Les Radiographies Des Os Du Nez Ne Devraient Pas êTre Prescr...unclassified

Fractures du nez

Rhee,

Belisle,

Strychowsky

2024

CMAJ

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“…Clinical examination is a diagnostic method in nasal trauma and X-rays are performed in legal cases. Furthermore, clinical examination can be difficult in the cases of haematoma and oedema [ 5 ]. Misdiagnosis can lead to secondary deformity and complications [ 6 ].…”

Section: Introductionmentioning

confidence: 99%