Title

Artificial intelligence in the radiological diagnosis of cancer

Authors

Bassam Alkhalifah^*

Affiliation

Department of Radiology and Medical Imaging, College of Medicine, Qassim University, Buraydah, Saudi Arabia; *Corresponding author.

Email

Bassam Alkhalifah - E - mail: b.alkhalifah@qu.edu.sa; Phone: +96 6504886432

Article Type

Research Article

Date

Received September 1, 2024; Revised September 30, 2024; Accepted September 30, 2024, Published September 30, 2024

Abstract

Artificial intelligence (AI) is being used to diagnose deadly diseases such as cancer. The possible decrease in human error, fast diagnosis, and consistency of judgment are the key incentives for implementing these technologies. Therefore, it is of interest to assess the use of artificial intelligence in cancer diagnosis. Total 200 cancer cases were included with 100 cases each of Breast and lung cancer to evaluate with AI and conventional method by the radiologist. The cancer cases were identified with the application of AI-based machine learning techniques. The sensitivity and specificity check-up was used to assess the effectiveness of both approaches. The obtained data was statistically evaluated. AI has shown higher accuracy, sensitivity and specificity in cancer diagnosis compared to manual method of diagnosis by radiologist.

Keywords

Artificial intelligence, cancer, detection, deep learning, prediction & sensitivity

Citation

Edited by

P Babaji

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.