Assisted Method for the Quantification, Localization and Automated Diagnosis of Stroke in Computed Tomography With the Use of Artificial Intelligence

PROBLEM STATEMENT Stroke is the fifth cause of death in the United States and the number one cause of long term disability. Annually around 800,000 persons are diagnosed with stroke in this country, causing the death of around 130,000 persons, each 4 minutes one person die due to this disease in the U.S.A.

In Mexico there is very few statistical information published about stroke, according to the Mexican clinical practice guidelines "CENETEC" this disease was the third cause of death, with the 5.6% percent of the main death causes, with an estimated rate of 25.6/100,000 habitants and more than 25,000 deaths per year according to data of the health department.

The monetary cost of the direct attention and the indirect expenses is enormous, with an approximate expenditure of 34 billion dollars per year. Around 20% of the survivors require special care during the first 3 months after a stroke event and around 30% remain with a severe disability.

In Mexico there is an alarming increase of stroke cases that correlates with the demographic transition to an older population, and also to the increase of risk factors for vascular atherothrombotic disease, as the hypertension, diabetes, obesity and dyslipidemia.

Local statistics show that from the different type of stroke the distribution in Mexico is: 72.94% as ischemic stroke, 20.17% hemorrhagic and 6.8% with subarachnoid hemorrhage, this numbers are similar to the statistic reported in the literature of other countries.