Facultad de Ciencias de la Ingeniería, Universidad Paraguayo Alemana, Lope de Vega nro. 1279, San Lorenzo, Paraguay; Facultad de Informática, Universidad Comunera, Monseñor Bogarín 284, Asunción, Paraguay.
Department of Neurosurgery, Yale University, 333 Cedar Street, New Haven, CT 06510, USA; Department of Epidemiology of Microbial Diseases, Yale University, 60 College Street, New Haven, CT 06510, USA.
Neurosurg Clin N Am. 2024 Oct;35(4):481-488. doi: 10.1016/j.nec.2024.05.010. Epub 2024 Jun 17.
Medical technology plays a significant role in the reduction of disability and mortality due to the global burden of disease. The lack of diagnostic technology has been identified as the largest gap in the global health care pathway, and the cost of this technology is a driving factor for its lack of proliferation. Technology developed in high-income countries is often focused on producing high-quality, patient-specific data at a cost high-income markets can pay. While machine learning plays an important role in this process, great care must be taken to ensure appropriate translation to clinical practice.
医疗技术在降低全球疾病负担导致的残疾和死亡率方面发挥着重要作用。诊断技术的缺乏已被确定为全球医疗保健途径中最大的差距，而该技术的成本是其缺乏普及的驱动因素。高收入国家开发的技术通常侧重于以高收入市场能够支付的成本生成高质量、针对患者个体的数据。虽然机器学习在这个过程中发挥着重要作用，但必须非常小心，以确保其向临床实践的适当转化。
