| Title: |
Artificial Intelligence interpretation of chest radiographs in intensive care. Ready for prime time? |
| Authors: |
Joskowicz, Leo1 (AUTHOR) josko@cs.huji.ac.il, Beil, Michael2 (AUTHOR), Sviri, Sigal3 (AUTHOR) |
| Source: |
Intensive Care Medicine. Jan2025, Vol. 51 Issue 1, p154-156. 3p. |
| Subject Terms: |
*RECEIVER operating characteristic curves, *CHEST X rays, *INTENSIVE care units, *SEPTIC shock, *COMPUTED tomography, *INFORMATION needs |
| Abstract: |
The article discusses the challenges of interpreting chest radiographs (CXRs) in the intensive care unit (ICU) due to image quality issues and the variability in reports. It highlights the need for artificial intelligence (AI) to assist intensivists in interpreting CXRs, especially in detecting critical pathologies. While AI shows promise in detecting changes in CXRs over time, there is still a gap in performance compared to radiologists. The integration of AI with other clinical data sources is seen as crucial for improving treatment decisions in critically ill patients in the ICU. [Extracted from the article] |
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| Database: |
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