The need for medical artificial intelligence that incorporates prior images
The use of artificial intelligence (AI) has grown dramatically in the past few years in the
United States and worldwide, with more than 300 AI-enabled devices approved by the US …
United States and worldwide, with more than 300 AI-enabled devices approved by the US …
The application of artificial intelligence in the diagnosis and drug resistance prediction of pulmonary tuberculosis
S Liang, J Ma, G Wang, J Shao, J Li, H Deng… - Frontiers in …, 2022 - frontiersin.org
With the increasing incidence and mortality of pulmonary tuberculosis, in addition to tough
and controversial disease management, time-wasting and resource-limited conventional …
and controversial disease management, time-wasting and resource-limited conventional …
Artificial intelligence in paediatric tuberculosis
J Naidoo, SC Shelmerdine, CFU -Charcape… - Pediatric …, 2023 - Springer
Tuberculosis (TB) continues to be a leading cause of death in children despite global efforts
focused on early diagnosis and interventions to limit the spread of the disease. This …
focused on early diagnosis and interventions to limit the spread of the disease. This …
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 …
health concern. Since the 2010s, the role of chest radiography has expanded in tuberculosis …
Diagnostic accuracy of the artificial intelligence methods in medical imaging for pulmonary tuberculosis: a systematic review and meta-analysis
Y Zhan, Y Wang, W Zhang, B Ying, C Wang - Journal of Clinical Medicine, 2022 - mdpi.com
Tuberculosis (TB) remains one of the leading causes of death among infectious diseases
worldwide. Early screening and diagnosis of pulmonary tuberculosis (PTB) is crucial in TB …
worldwide. Early screening and diagnosis of pulmonary tuberculosis (PTB) is crucial in TB …
[HTML][HTML] Development and Validation of Deep Learning–Based Infectivity Prediction in Pulmonary Tuberculosis Through Chest Radiography: Retrospective Study
Background Pulmonary tuberculosis (PTB) poses a global health challenge owing to the
time-intensive nature of traditional diagnostic tests such as smear and culture tests, which …
time-intensive nature of traditional diagnostic tests such as smear and culture tests, which …
Impact of AI-assisted CXR analysis in detecting incidental lung nodules and lung cancers in non-respiratory outpatient clinics
SH Kwak, KY Kim, JS Choi, MC Kim, CH Seol… - Frontiers in …, 2024 - frontiersin.org
Purpose The use of artificial intelligence (AI) for chest X-ray (CXR) analysis is becoming
increasingly prevalent in medical environments. This study aimed to determine whether AI in …
increasingly prevalent in medical environments. This study aimed to determine whether AI in …
Deep learning based CT images automatic analysis model for active/non-active pulmonary tuberculosis differential diagnosis
M Nijiati, R Zhou, M Damaola, C Hu, L Li… - Frontiers in Molecular …, 2022 - frontiersin.org
Active pulmonary tuberculosis (ATB), which is more infectious and has a higher mortality
rate compared with non-active pulmonary tuberculosis (non-ATB), needs to be diagnosed …
rate compared with non-active pulmonary tuberculosis (non-ATB), needs to be diagnosed …
[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 …
With the development of newer models, AI applications are demonstrating improved …
[HTML][HTML] AI-Driven Thoracic X-ray Diagnostics: Transformative Transfer Learning for Clinical Validation in Pulmonary Radiography
Our research evaluates advanced artificial (AI) methodologies to enhance diagnostic
accuracy in pulmonary radiography. Utilizing DenseNet121 and ResNet50, we analyzed …
accuracy in pulmonary radiography. Utilizing DenseNet121 and ResNet50, we analyzed …