Efficiency, accuracy, and health professional's perspectives regarding artificial intelligence in radiology practice: A scoping review
C He, W Liu, J Xu, Y Huang, Z Dong, Y Wu… - …, 2024 - Wiley Online Library
In this scoping review, we evaluated the performance of artificial intelligence (AI) in clinical
radiology practice and examined health professionals' perspectives regarding AI use in …
radiology practice and examined health professionals' perspectives regarding AI use in …
COVID-19 and Tuberculosis: Mathematical Modeling of Infection Spread Taking into Account Reduced Screening
A Starshinova, N Osipov, I Dovgalyk, A Kulpina… - Diagnostics, 2024 - mdpi.com
The COVID-19 pandemic resulted in the cessation of many tuberculosis (TB) support
programs and reduced screening coverage for TB worldwide. We propose a model that …
programs and reduced screening coverage for TB worldwide. We propose a model that …
Investigating Effective Data Augmentation Techniques for Accurate Gastric Classification in the Development of a Deep Learning-Based Computer-Aided Diagnosis …
J Park, H Lee, H Cho - Applied Sciences, 2023 - mdpi.com
Gastric cancer is a significant health concern, particularly in Korea, and its accurate
detection is crucial for effective treatment. However, a gastroscopic biopsy can be time …
detection is crucial for effective treatment. However, a gastroscopic biopsy can be time …
An Effective Health System Approach to End TB: Implementing the Double X Strategy in Vietnam
AL Innes, V Lebrun, GL Hoang, A Martinez… - … Health: Science and …, 2024 - ghspjournal.org
Countries that are high burden for TB must reverse the COVID-19 pandemic's devastating
effects to accelerate progress toward ending TB. Vietnam's Double X (2X) strategy uses …
effects to accelerate progress toward ending TB. Vietnam's Double X (2X) strategy uses …