RESUMO
Hip fractures are a major cause of morbidity and mortality in the elderly, and incur high health and social care costs. Given projected population ageing, the number of incident hip fractures is predicted to increase globally. As fracture classification strongly determines the chosen surgical treatment, differences in fracture classification influence patient outcomes and treatment costs. We aimed to create a machine learning method for identifying and classifying hip fractures, and to compare its performance to experienced human observers. We used 3659 hip radiographs, classified by at least two expert clinicians. The machine learning method was able to classify hip fractures with 19% greater accuracy than humans, achieving overall accuracy of 92%.
Assuntos
Fraturas do Quadril/classificação , Fraturas do Quadril/diagnóstico por imagem , Articulação do Quadril/diagnóstico por imagem , Aprendizado de Máquina , Custos de Cuidados de Saúde , Fraturas do Quadril/economia , Fraturas do Quadril/cirurgia , Humanos , RadiografiaAssuntos
Fixação de Fratura/normas , Fraturas do Quadril/cirurgia , Guias de Prática Clínica como Assunto , Feminino , Fixação de Fratura/economia , Fidelidade a Diretrizes , Fraturas do Quadril/diagnóstico , Fraturas do Quadril/economia , Humanos , Imageamento por Ressonância Magnética , Masculino , Tomografia Computadorizada por Raios X , Resultado do TratamentoRESUMO
Pelvic and acetabular injury may occur in isolation, or, in two-thirds of cases be associated with other significant injuries to the skeleton or other body systems. Most unstable pelvic and acetabular injuries require specialist surgical treatment which often means transfer to a specialist centre. The associated injuries also require assessment and treatment by appropriate specialists. It is believed patients treated in specialist centres for these injuries have an improved outcome. Costing implications therefore exist for hospitals purchasing such services from specialist pelvic units. This paper presents a review of the multidisciplinary specialty surgical workload generated by offering a regional pelvic and acetabular service in Bristol over a 1-year period. It suggests previous reports documenting the number of patients suffering pelvic and acetabular injuries associated with other significant injuries, may have been underestimated. This information informs health care purchasers of the real extent of the surgical and other services needed and the resources required to treat patients with unstable pelvic and acetabular injuries.