Chest x-rays and AI

2024_10

Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities

Kazemzadeh et al.

https://pubmed.ncbi.nlm.nih.gov/39823016/

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.

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%.