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inteligencia

Authors

  • Angely Rocío Jiménez Insuasti Universidad de Nariño
  • Randol Karami Silva Bermudez Universidad del Cauca
  • Pedro Angel Nieto Manrique Universidad de Ciencias Aplicadas y Ambientales
  • Héctor Daniel Alejandro Cotrino Palma Fundación Univerditaria Sanitas
  • Brenda Bohorquez de la Hoz Universidad del Sinú- Cartagena

Keywords:

Artificial Intelligence, Machine Learning, Radiology, Deep Learning, Radiologists.

Abstract

Artificial intelligence is one of the most notorious advances in the field of radiology in
recent years. Artificial intelligence algorithms can be applied to different problems
within the specialty, becoming a support for the clinician. The superior capacity of
artificial intelligence to carry out certain activities has caused an atmosphere of
distrust among health professionals and among the patient population that could
intervene in the implementation of this technology within the field of radiology. This
review will explore the role of the professional in radiology in a field with a great
influence from artificial intelligence.

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Published

2022-05-05

Versions

How to Cite

Jiménez Insuasti, A. R., Silva Bermudez, R. K. ., Nieto Manrique, P. A., Cotrino Palma, H. D. A. ., & Bohorquez de la Hoz, B. (2022). inteligencia. Scientific and Educational Medical Journal, 2(1), 85-16. Retrieved from https://www.medicaljournal.com.co/index.php/mj/article/view/87

Issue

Vol. 2 No. 1 (2022): Enero-Marzo

Section

Articles

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