Chest x-rays and AI
CXR for early detection of TB
2024_10
Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities
Kazemzadeh et al.
Highlights
The CXR TB AI was noninferior to radiologists for active pulmonary TB triaging in a population with a high TB and HIV burden. Neither the TB AI nor the radiologists met WHO recommendations for sensitivity in the study population. AI can also be used to detect other CXR abnormalities in the same population.
Reporting of normal CXRs using AI
2024_05
Performance of AI to exclude normal chest radiographs to reduce radiologists' workload.
Shalekamp et al.
https://pubmed.ncbi.nlm.nih.gov/38758252/
Highlights
The AI system reached an AUC of 0.92 for the detection of normal chest radiographs. Fifty-three percent of normal chest radiographs were identified with a NPV of 98% for urgent findings. AI can reduce the workload of chest radiography reporting by 15%.