Evidence (Publications & White Papers)

Enhancing Stroke Care with AI at Baptist Christian Hospital

Evidence at 2024 World Conference on Lung Cancer cites chest X-ray AI’s potential to detect lung nodules early

Computer-aided detection of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of commercially available artificial intelligence software

Comparing the Output of an Artificial Intelligence Algorithm in Detecting Radiological Signs of Pulmonary Tuberculosis in Digital Chest X-Rays and Their Smartphone-Captured Photos of X-Ray Films: Retrospective Study

Independent evaluation of the accuracy of 5 artificial intelligence software for detecting lung nodules on chest X-rays

Expanding molecular diagnostic coverage for tuberculosis by combining computer-aided chest radiography and sputum specimen pooling: a modeling study from four high-burden countries

Early Detection of Heart Failure with Autonomous AI-Based Model Using Chest Radiographs: A Multicenter Study

Artificial Intelligence-based automated CT brain interpretation to accelerate treatment for acute stroke in rural India: An interrupted time series study

Validation of a commercially available CAD-system for lung nodule detection and characterization using CT-scans

An Effective Health System Approach to End TB: Implementing the Double X Strategy in Vietnam

The utility of artificial intelligence in identifying radiological evidence of lung cancer and pulmonary tuberculosis in a high-burden tuberculosis setting

Evaluation of an artificial intelligence-based software device for detection of intracranial haemorrhage in teleradiology practice

Revolutionizing Healthcare: Qure.AI's Innovations in Medical Diagnosis and Treatment

Comparing deep learning models for tuberculosis detection: A retrospective study of digital vs. analog chest radiographs

Correlating Age and Hematoma Volume with Extent of Midline Shift in Acute Subdural Hematoma Patients: Validation of an Artificial Intelligence Tool for Volumetric Analysis

Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI)

Benefits of Artificial Intelligence versus Human- Reader in Chest X-ray Screening for Tuberculosis in the Philippines

Deploying artificial intelligence software in an NHS trust: a how-to guide for clinicians

Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with tuberculosis

11 clinical trials that will shape medicine in 2024

Implementing a chest X-ray artificial intelligence tool to enhance tuberculosis screening in India: Lessons learned

Using Artificial Intelligence to Stratify Normal versus Abnormal Chest X-rays: External Validation of a Deep Learning Algorithm at East Kent Hospitals University NHS Foundation Trust

Computer-Aided Detection for Chest Radiography to Improve the Quality of Tuberculosis Diagnosis in Vietnam's District Health Facilities: An Implementation Study

Comparing tuberculosis symptom screening to chest X-ray with artificial intelligence in an active case finding campaign in Northeast Nigeria