Evaluation Artificial Intelligent (AI) Assists Radiologist in Radiographic Chest Interpretation

Article Sidebar

PDF
Published: Sep 20, 2018
DOI: https://doi.org/10.31524/bkkmedj.2018.09.011
Keywords:
artificial intelligence, AI, chest image, chest radiograph, chest tomosynthesis, fractured ribs, chest screening, pulmonary tuberculosis

Main Article Content

Kamolpong Osatavanichvong, MD
Eduardo de Goes Nakano, MD
Gerardo Dessí, MD
Thanis Saksirinukul, MD

Abstract

Artificial Intelligence (AI) is integrated in the medical field especially in imaging. Routine chest radiography, mammography, CT and magnetic resonance imaging (MRI) are commonly used in the radiology department1, AI images are available to assist radiologists as an imaging companion, to increase quality and decrease time in interpretations. The use of Lunit INSIGHT2 for chest radiography is evaluated to ascertain the probability of its usefulness and the advantage and disadvantage of this tool. Furthermore, the AI image is an advance in assisting in the upgrade of more crucial diagnosis and it will reduce costs of unnecessary investigations in the near future.

Article Details

How to Cite
1.
Osatavanichvong K, Nakano E de G, Dessí G, Saksirinukul T. Evaluation Artificial Intelligent (AI) Assists Radiologist in Radiographic Chest Interpretation. BKK Med J [Internet]. 2018 Sep. 20 [cited 2024 Dec. 22];14(2):59. Available from: https://he02.tci-thaijo.org/index.php/bkkmedj/article/view/222543
Issue
Vol. 14 No. 2 (2018): September
Section
Case Report

This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

References

1. Siemens Healthineers. White paper: Medical imaging in the age of artificial intelligence, 2017. (Accessed May 5, 2018 at https://www.siemens.com/press/pool/de/events/2017/ healthineers/2017-11-rsna/white-paper-medical-imaging-inthe- age-of-artificial-intelligence.pdf).
2. Lunit INSIGHT: https://insight.lunit.io/#home.
3. Harvey H. Separating the art of medicine from artificial intelligence, Dec 21, 2017. (Accessed May 5, 2018 at https:// towardsdatascience.com/separating-the-art-of-medicine-fromartificial- intelligence-6582f86ea244).