Artificial intelligence enables the mechanism of whole-cycle precision diagnosis and treatment of gastrointestinal stromal tumor

The left side summarizes six core problems in the current clinical diagnosis and treatment of GIST, including resistance to targeted drugs, insufficient accuracy of risk stratification, difficulty in non-invasive prediction of gene mutations, limitation of imaging discrimination, immature organoid technology, and multimodal data siloes.

On the right side, an AI-driven "prevention, diagnosis, treatment, and follow-up" whole-process solution was constructed, covering the key links of non-invasive imaging risk stratification based on deep learning, fusion diagnosis of radiomics and pathology, intelligent drug susceptibility screening of organoids, clinical decision support system (CDSS), dynamic efficacy monitoring, drug resistance warning, and early recurrence identification.