EC Pulmonology and Respiratory Medicine

Mini Review Volume 13 Issue 11 - 2024

Predictive Diagnosis of Lung Diseases Using Artificial Intelligence

Rishi Bagri1 and Alok Shah2*

1Sarala Birla Academy, India


2Lung Injury Center, University of Chicago, USA


*Corresponding Author: Alok Shah, Pulmonary Department, Lung Injury Center, University of Chicago, USA.
Received: October 01, 2024; Published:October 23, 2024



Lung diseases pose a serious risk to global health, accounting for millions of deaths each year and putting a significant burden on healthcare systems worldwide. Diseases like lung cancer, pneumonia, TB, and chronic obstructive pulmonary disease (COPD) are more accurate to depict. These require specific diagnosis methods and early identification of particular cases for effective treatment and to achieve better patient outcomes through individualised treatment plans. The recent advancements in the use of artificial intelligence in the medical field also show great potential in diagnosing lung diseases differently. The review focuses on development, application, obstacles, and predictions of AI-driven predictive diagnosis in pulmonary medicine.

 Keywords: Chronic Obstructive Pulmonary Disease (COPD); Lung Diseases; Artificial Intelligence

Rishi Bagri and Alok Shah. "Predictive Diagnosis of Lung Diseases Using Artificial Intelligence". EC Pulmonology and Respiratory Medicine  13.11 (2024): 01-04.