ArticleComputational intelligence and neuroscience2022
AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model.
Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06409780 (Comparative Efficacy of Chest Ultrasound, Chest X-Ray and Computer-aided Diagnostic), which is not on this map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Comparative Efficacy of Chest Ultrasound, Chest X-Ray and Computer-aided Diagnostic (CAD) for Tuberculosis Diagnosis in Low-Resource Setting: A Cross-Sectional Study From Ethiopia (CUSTB)
Who cites it
26 citing papers in PubMed, 83 citations in OpenAlex.
- Artificial Intelligence in the Diagnosis and Management of Pulmonary Tuberculosis: A Review of Current Applications and Future Perspectives.Therapeutics and clinical risk management · 2026Review
- Transfer Learning for Automated Two-class Classification of Pulmonary Tuberculosis in Chest X-Ray Images.Current medicinal chemistry · 2026Article
- Review
- Development of machine learning models to identify potentially active compounds against tuberculosis.Scientific reports · 2025Article
- SPX-GNN: An Explainable Graph Neural Network for Harnessing Long-Range Dependencies in Tuberculosis Classifications in Chest X-Ray Images.Diagnostics (Basel, Switzerland) · 2025Article
- Combining K-fold cross validation with bayesian hyperparameter optimization for accuracy enhancement of land cover and land use classification.Scientific reports · 2025Article
- Diagnostic assistance method for RR-TB/MDR-TB patients under treatment based on CNN-LSTM.Scientific reports · 2025Article
- Integration of AI and ML in Tuberculosis (TB) Management: From Diagnosis to Drug Discovery.Diseases (Basel, Switzerland) · 2025Review
- Enhanced tuberculosis detection using Vision Transformers and explainable AI with a Grad-CAM approach on chest X-rays.BMC medical imaging · 2025Article
- Investigating the Key Trends in Applying Artificial Intelligence to Health Technologies: A Scoping Review.PloS one · 2025Article
- Predicting and improving diagnosis of tuberculosis outcomes in South Africa using machine learning techniques.PLOS global public health · 2025Article
- Convolutional Neural Network-Vision Transformer Architecture with Gated Control Mechanism and Multi-Scale Fusion for Enhanced Pulmonary Disease Classification.Diagnostics (Basel, Switzerland) · 2024Article
- A Robust Tuberculosis Diagnosis Using Chest X-Rays Based on a Hybrid Vision Transformer and Principal Component Analysis.Diagnostics (Basel, Switzerland) · 2024Article
- Artificial Intelligence: The new weapon to END TB.Lung India : official organ of Indian Chest Society · 2024Article
- Review
- Comparative effectiveness of chest ultrasound, chest X-ray and computer-aided diagnostic (CAD) for tuberculosis diagnosis in low-resource setting: study protocol for a cross-sectional study from Ethiopia.Frontiers in public health · 2024Article
- YOLOv8's advancements in tuberculosis identification from chest images.Frontiers in big data · 2024Article
- Predicting Multimorbidity Using Saudi Health Indicators (Sharik) Nationwide Data: Statistical and Machine Learning Approach.Healthcare (Basel, Switzerland) · 2023Article
- DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images.Cancers · 2023Article
- Using an Artificial Intelligence Approach to Predict the Adverse Effects and Prognosis of Tuberculosis.Diagnostics (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) is an airborne disease caused by
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.