AI in thoracic imaging: a revolution redefining the role of radiologists
Published on 25 March 2025
An article published in the journal Radiology highlights the meteoric rise of artificial intelligence in thoracic imaging.
In May 2024, 76% of AI software validated by the FDA concerned radiology, confirming a global trend.
Key applications
- Assisted interpretation of chest X-rays and CT scans
- Automated detection of pulmonary nodules, embolism or pneumothorax
- Opportunistic screening for non-targeted diseases
But this progress raises a number of practical challenges
- rigorous tool selection,
- integration into hospital infrastructures
- management of medical responsibilities.
Researchers insist on the need to proactively redefine the role of radiologists, which is essential for integrating these technologies and ensuring their effectiveness and safety.
At Keydiag, we’re keeping a close eye on these developments, as they resonate with our vision: to support radiologists in the rational use of innovative, automated solutions to improve the quality of their reports and optimize their medical time.
The stakes are twofold: guaranteeing the quality of care and preserving the strategic place of radiologists in AI-enhanced medicine.
