Year: 2024
Type: article
Abstract: The COVID-19 pandemic has generated a global health crisis, and having tools that allow the disease to be efficiently managed is of vital importance. In this context, artificial intelligence offers a unique opportunity to analyze large volumes of medical data and obtain valuable information that can contribute to medical decision-making and improve management of the pandemic. In this work, artificial intelligence techniques are applied to model the results obtained from COVID-19 databases in Mexico.
Authors: Antonio Álvarez Núñez, María del Carmen Santiago Díaz, Ana Claudia Zenteno Vázquez, Judith Pérez Marcial, Gustano Trinidad Rubín Linares
Institution: Benemérita Universidad Autónoma de Puebla
Language: English
Topic: COVID-19 diagnosis using AI
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4404852453