Causal AI-based clinical and radiomic analysis for optimizing patient selection in combined immunotherapy and SABR in early-stage NSCLC: a secondary analysis of the phase II I-SABR trial

Combining clinical and radiomic parameters, I-SABR-SELECT uses causal reasoning to individualize treatment selection for patients with early-stage inoperable NSCLC. If validated, it could serve as a foundation for a treatment-focused digital twin by integrating real-time adaptive decision-making. Code: https://github.com/WuLabMDA/ISABR-SELECT.