Research graph
References from Authors’ Reply: Clarifying the Comparative Interpretation and Clinical Implications of Radiomics-Based AI for Pathological Response Prediction. Local targets link to admitted publications; unresolved targets remain external evidence.
10.2196/110058 · Admitted local publication
Radiomics-based AI for predicting neoadjuvant immunochemotherapy pathological response in non-small cell lung cancer: systematic review and meta-analysis
10.2196/93892 · External reference
Quantitative F-FDG PET/CT model for predicting pathological complete response to neoadjuvant immunochemotherapy in NSCLC: comparison with RECIST 1.1 and PERCIST
10.1007/s00259-025-07342-8 · External reference
Neoadjuvant nivolumab plus chemotherapy in resectable lung cancer
10.1056/nejmoa2202170 · External reference
A primer on RECIST 1.1 for oncologic imaging in clinical drug trials
10.1148/rycan.2021210008 · External reference
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
10.1038/s41591-022-01772-9 · External reference
