A CT imaging-based deep learning model for predicting EGFR and KRAS mutations in non-small cell lung cancer: toward personalized treatment approaches

Key Points

• The LG-MutaNet predicts EGFR and KRAS mutations with high precision in non-small cell lung cancer patients.
• It uses a deep learning model, integrating clinical variables and CT imaging for accurate mutation forecasts.
• This technology supports advancing personalized treatment strategies, fostering a more tailored healthcare approach.
• The findings may enhance decision-making in lung cancer treatment, although further validation is required.