Evidence (Publications & White Papers)

The Early diagnostic value of chest X-ray scanning by the help of Artificial Intelligence in Heart Failure (ART-IN-HF): The First Outcomes

Using artificial intelligence to risk stratify COVID-19 patients based on chest X-ray findings.

Using artificial intelligence to risk stratify COVID19 patients based on chest X-ray findings

Evaluation of chest X-Ray with automated interpretation algorithms for mass tuberculosis screening in prisons

Triage of Persons With Tuberculosis Symptoms Using Artificial Intelligence–Based Chest Radiograph Interpretation: A Cost-Effectiveness Analysis

Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis

Early Evaluation of an Ultra-Portable X-ray System for Tuberculosis Active Case Finding

Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms

Pattern of abnormalities amongst chest X-rays of adults undergoing computer-assisted digital chest X-ray screening for tuberculosis in Peri-Urban Blantyre, Malawi: A cross-sectional study

Deep Learning-Based Software Tools for Tuberculosis Detection in Chest X-Ray Images

Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening

Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation – a cohort study

Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Subjects Utilizing Deep Learning Algorithms

A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers

Deep Learning-Based A.I. Software for Chest X-Ray Analysis to Detect Microbiologically-Confirmed Tuberculosis: A Prospective Study of Diagnostic Accuracy

Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis – a prospective study of diagnostic accuracy for culture-confirmed disease

Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients – analysis of 697 Italian patients

A Systematic Review of Medical Costs Associated with Heart Failure in the USA (2014–2020)

Artificial Intelligence Solutions for Analysis of X-ray Images

Comparison of Chest Radiograph Interpretations by Artificial Intelligence vs Radiologists in the diagnosis of pulmonary TB

Can artificial intelligence (AI) be used to accurately detect tuberculosis (TB) from chest x-ray? A multiplatform evaluation of five AI products used for TB screening in a high TB-burden setting

Performance of Qure.ai automatic classifiers against a large annotated database of patients with diverse forms of tuberculosis

Deep learning, computer-aided radiography reading for tuberculosis – A diagnostic accuracy study from a tertiary hospital in India

Segmentation and Measurement of Ventricular and Cranial Vault Volumes in 15,223 Subjects Using Artificial Intelligence