AI Assessment of Chest Lines, Drains, and Airways: Current Limitations

AI algorithms for detecting lines, drains, and airways on chest radiographs can approach radiologist-level accuracy, but most still fall short of clinical deployment. Multicenter validation, pediatric datasets, and anatomically informed models are needed for integration into cli…

• Review covers clinical placement criteria and radiographic appearance of common LDA categories.
• AI methods surveyed for presence detection, device localization, and position classification.
• Some models approach radiologist performance but require validation and pediatric-specific datasets.

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.