Deep Learning-based Estimated Pulmonary Biological Age from Chest CT Images in Healthy Adults: a model development and validation study (Preprint) | Synapse
March 3, 2026Open Access
Deep Learning-based Estimated Pulmonary Biological Age from Chest CT Images in Healthy Adults: a model development and validation study (Preprint)
Key Points
Pulmonary biological age estimation reveals a promising new metric for evaluating lung health.
The deep learning model achieved a correlation of 0.85, indicating strong predictive accuracy in healthy adults.
Model development involved training on various chest CT images, ensuring robustness and generalizability.
This approach supports further research on biological aging, potentially impacting early disease detection.