Advancements in Artificial Intelligence for the Diagnosis of Multidrug Resistance and Extensively Drug-Resistant Tuberculosis: A Comprehensive Review

  15 May 2024

Tuberculosis is a global health concern, with MDR-TB and XDR-TB emerging. Traditional methods are time-consuming and inaccurate, leading to treatment delays. Artificial intelligence (AI) has shown promise in diagnosing drug-resistant strains. This review explores AI applications for MDR-TB and XDR-TB diagnosis, including machine learning, deep learning, and ensemble techniques. Challenges include data availability, algorithm interpretability, and regulatory considerations. Future directions include AI integration into clinical practice.

Further reading: Cureus
Author(s): Shanmuga Priya K et al
Smart Innovations  
Back

OUR UNDERWRITERS

Unrestricted financial support by:

LifeArc

Antimicrobial Resistance Fighter Coalition

Bangalore Bioinnovation Centre

INTERNATIONAL FEDERATION PHARMACEUTICAL MANUFACTURERS & ASSOCIATIONS





AMR NEWS

Every two weeks in your inbox

Because there should be one newsletter that brings together all One Health news related to antimicrobial resistance: AMR NEWS!

Subscribe

What is going on with AMR?
Stay tuned with remarkable global AMR news and developments!

Keep me informed