Artificial intelligence in medical education and health prediction

Authors

  • Joison A N
  • Barcudi R J
  • Majul E A
  • Ruffino S A
  • De Mateo Rey J J
  • Joison A M
  • Baiardi G

DOI:

https://doi.org/10.22529/me.2021.6(1)07

Keywords:

Artificial intelligence, Cardiology, Algorithms, Neural network, Health, Prediction

Abstract

Artificial intelligence has the potential to transform the way healthcare is delivered. You can support improved results and increase the productivity and efficiency of service delivery. In the services of the different specialties, the advances made at the hardware level must be developed in parallel with the methods of machine learning, aspects that artificial intelligence contributes to promote a significant paradigm shift in the most diverse areas of medicine. It is important in medical education as an axis for knowledge and in making decisions that can improve the performance of professionals. New generation medical students can perfectly adapt to new digitized methods in a globalized medical context, including artificial intelligence. For this reason, it is important to have as objectives to be implemented in the study plans and to introduce educational programs that are representative of this technology. It is essential that all areas of the Health System have confidence in computer systems specifically in deep learning, not only because of the concrete and objective information that is derived from it but also because of the possibility of predicting future events, providing high certainty regarding to the diagnosis and treatment of diseases.

Published

2021-01-04

How to Cite

A N, J., R J, B., E A, M., S A, R., J J, D. M. R., A M, J., & G, B. (2021). Artificial intelligence in medical education and health prediction. Methodo Investigación Aplicada a Las Ciencias Biológicas, 6(1). https://doi.org/10.22529/me.2021.6(1)07

Issue

Section

Artículos