AI for detection of tuberculosis: Implications for global health

EJ Hwang, WG Jeong, PM David, M Arentz… - Radiology: Artificial …, 2024 - pubs.rsna.org
Tuberculosis, which primarily affects developing countries, remains a significant global
health concern. Since the 2010s, the role of chest radiography has expanded in tuberculosis …

[HTML][HTML] Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging

JY Chang, MS Makary - Diagnostics, 2024 - mdpi.com
The advent of artificial intelligence (AI) is revolutionizing medicine, particularly radiology.
With the development of newer models, AI applications are demonstrating improved …

[HTML][HTML] Optimization-driven artificial intelligence-enhanced municipal waste classification system for disaster waste management

R Pitakaso, T Srichok, S Khonjun… - … Applications of Artificial …, 2024 - Elsevier
This research addresses the critical challenge of disaster waste management, a growing
concern exacerbated by the increasing frequency and intensity of natural disasters like …

[HTML][HTML] Two-Stage Ensemble Deep Learning Model for Precise Leaf Abnormality Detection in Centella asiatica

B Buakum, M Kosacka-Olejnik, R Pitakaso, T Srichok… - AgriEngineering, 2024 - mdpi.com
Leaf abnormalities pose a significant threat to agricultural productivity, particularly in
medicinal plants such as Centella asiatica (Linn.) Urban (CAU), where they can severely …

Predicting Tuberculosis Drug Resistance Using Semi-Supervised and Multi-Task Learning

Z Yang, S Liang, L Zhou, S Yang… - … Annual Conference on …, 2023 - ieeexplore.ieee.org
Tuberculosis remains a persistent global health threat and a leading cause of mortality. Drug
therapy currently serves as the primary approach for tuberculosis treatment. However, drug …

Harnessing the Power of Multimodal Data: Medical Fusion and Clas-sification

BR Nandwalkar, F Haneef - internationalpubls.com
In the field of medical diagnosis, combining different types of information like text, images,
and audio is a big step forward in making patient assessments more accurate. This research …