The Role of Artificial Intelligence in Early Disease Detection

Authors

  • Jamie King
  • Alex Mitchell
  • Taylor Walker

Keywords:

artificial intelligence, early detection, diagnostic tools, accuracy, patient outcomes

Abstract

This study reviews the application of artificial intelligence (AI) technologies in the early detection of diseases. By analyzing AI-driven diagnostic tools, the paper evaluates their accuracy and efficiency in identifying conditions at an early stage. The findings suggest AI's significant potential to enhance diagnostic processes and patient outcomes across various medical fields.

Author Biographies

Jamie King

PhD in Computer Science
Indian Institute of Technology Bombay
Powai, Mumbai, Maharashtra 400076, India

Alex Mitchell

MD
University of California, Los Angeles
Los Angeles, CA 90095, USA

Taylor Walker

PhD in Biomedical Engineering
National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute'
Peremohy Ave, 37, Kyiv, 03056, Ukraine

References

Mansuri, U., Venkata, S. Y., Ogbue, S. C., Moram, R. S., Goyal, A., Bhatt, H., ... & Patel, U. (2023). Mo1213 GENOME SEQUENCING, MUTATIONAL ANALYSIS, AND SURVIVAL RATE OF COLORECTAL CARCINOMA-AN ANALYSIS FROM CBIOPORTAL. Gastroenterology, 164(6), S-787.

Sabri, M. (2021, August). Prophylactic Examinations For Cervical Cancer–Mandatory Precaution That Can Save A Life. In Varna Medical Forum (Vol. 10, No. 2, pp. 443-448).

Sanotsky, Y., Selikhova, M., Fedoryshyn, L., Kuzyk, P., Matviyenko, Y., Semeryak, O., ... & Lees, A. J. (2020). Neuropathological findings in ephedrone encephalopathy. Movement Disorders, 35(10), 1858-1863.

Downloads

Published

2023-09-06

Issue

Vol. 1 No. 1 (2023)

Section

Articles