Development of a mobile application for assessment of peripheral obstructive artery disease

Peripheral Arterial Disease (PAD) is a serious problem for the health system. It is expected that PAD cases follow the increase of the prevalence of diabetes mellitus, hypertension, dyslipidemia, obesity, as well as other conditions that are known risk factors for this pathology. The impact on health expenses as well as on the social security system is undeniable, not to mention the stigma that the loss of a leg brings to the psychological status of the patient. It is therefore important to perform the correct stratification of these patients in order to ensure the best treatment for each case. At the same time, the use of technology and mobile devices has helped human practice, which can be observed by an exponential increase of these technologies in the health area. The development of a mobile application capable of assisting in the assessment and treatment of this group of patients is imperative, as it directly impacts treatment and the prognosis improvement. This study aims to develop an application for a mobile device capable of correlating the type of trophic lesion with the pattern of arterial lesion in the lower limb to predict the risk of amputation, the benefit and the type of revascularization to be performed in patients with PAD. The processes continue to improve the functioning of the application, with probable use of Artificial Intelligence for image recognition in subsequent studies.