Enhanced deep learning model for precise nodule localization and recurrence risk prediction following curative-intent surgery for lung cancer.
Jihwan ParkMi Jung RhoMi Hyoung MoonPublished in: PloS one (2024)
The trained model allows clinicians to focus on lung regions where cancer recurrence is more likely, acting as a significant aid in the detection and diagnosis of lung cancer. Serving as a clinical decision support system, it offers substantial support in managing lung cancer patients.
Keyphrases
- clinical decision support
- deep learning
- minimally invasive
- free survival
- electronic health record
- papillary thyroid
- palliative care
- squamous cell carcinoma
- coronary artery bypass
- resistance training
- squamous cell
- artificial intelligence
- coronary artery disease
- acute coronary syndrome
- body composition
- real time pcr
- label free
- surgical site infection