The Role of Artificial Intelligence in Early Disease Detection

Authors

  • Robin Garcia
  • Casey Nelson
  • Kim Nelson

Keywords:

artificial intelligence, early detection, diagnostics, machine learning, preventive healthcare

Abstract

Artificial intelligence (AI) is transforming the landscape of medical diagnostics with its ability to analyze vast datasets swiftly and accurately. This article reviews recent innovations in AI-driven diagnostic tools that aid in early disease detection, particularly in conditions like Alzheimer's, diabetes, and cardiovascular diseases. The integration of machine learning algorithms in diagnostic processes enhances accuracy and reduces human error, promising a new era of preventive healthcare. The potential and challenges of AI in diagnostics are discussed, emphasizing future trends.

Author Biographies

Robin Garcia

PhD
University of Toronto
27 King's College Circle, Toronto, ON M5S, Canada

Casey Nelson

MD
Karolinska Institutet
Nobels väg 1, 171 77 Stockholm, Sweden

Kim Nelson

PhD
University of Melbourne
Parkville, VIC 3010, Australia

References

Viroliya, K., Hojjat, A., Pena, B., Bhatt, H., Mehta, N. N., Venkata, S. Y., ... & Palabindela, P. (2023). Sa1359 HELICOBACTER PYLORI ASSOCIATED GASTRO-INTESTINAL BLEEDING IN BARIATRIC SURGERY-NATIONWIDE SURREY. Gastroenterology, 164(6), S-373.

Published

2025-12-23

Issue

Section

Articles