Publications by authors named "J C Tonn"
Subgroup analyses are essential to generate new hypotheses or to estimate treatment effects in clinically meaningful subgroups of patients. They play an important role in taking the next step towards personalized surgical treatment for brain tumor patients. However, subgroup analyses must be used with consideration and care because they have significant potential risks.
View Article and Find Full Text PDFBackground: Following surgery, patients with newly diagnosed glioblastoma frequently enter clinical trials. Nuanced risk assessment is warranted to reduce imbalances between study arms. Here, we aimed (I) to analyze the interactive effects of residual tumor with clinical and molecular factors on outcome and (II) to define a postoperative risk assessment tool.
View Article and Find Full Text PDFArticle Synopsis
- Technological advancements are enhancing the use of computational methods in fields like health care, particularly in neuro-oncology, to improve clinical decision-making through various biomarkers.
- Artificial intelligence (AI) algorithms, including radiomics, are being increasingly integrated, but challenges like generalizability and validation hinder their widespread application.
- This Policy Review aims to provide recommendations for standardizing AI practices in health care, focusing on neuro-oncology, while discussing the importance of reliable AI for future clinical trials.