AI analysis that can be compatible with evidence-based medicine: with an example of analysis of lung cancer recurrence

Read full text
Authors: Takuma Usuzaki, Eriya Matsunbo, Ryusei Inamori
Cited by: 1
References: 32

Abstract

Abstract Despite the remarkable progress of artificial intelligence represented by large language models, how AI technologies can contribute to the construction of evidence in evidence-based medicine (EBM) remains an overlooked issue. Now, we need an AI that can be compatible with EBM. In the present paper, we aim to propose an example analysis that may contribute to this approach using variable Vision Transformer.

Fields of Study & Subjects

AI in cancer detection Radiomics and Machine Learning in Medical Imaging Lung Cancer Diagnosis and Treatment

Publication details

Journal / source
medRxiv
Publisher
openRxiv
Publication date
25 April 2026
Document type
Preprint