Jun-Lin Zhou

A Transformer-Based Deep Learning Model for Prediction of Temozolomide Resistance in Glioblastoma Using Pretreatment MRI Images.

OBJECTIVE Glioblastoma (GBM) is a lethal tumor where temozolomide (TMZ) chemotherapy often faces resistance. We develop a deep learning model based on a Vision Transformer (ViT) architecture for pretreatment prediction of TMZ resistance. METHODS We retrospectively enrolled 314 GBM patients across four centers between...

Spectral CT predicts initial bleeding risk in cirrhotic patients with esophagogastric varices.

MRI Signs for the Preoperative Diagnosis of Intracranial Solitary Fibrous Tumors.

The ISFT-DS provides a reproducible and teachable MRI-based scoring system for standardized preoperative identification of ISFTs and increases the overall AUC and standardized reader training on the ISFT-DS increased the overall AUC.

Physicians and artificial intelligence diverge in evaluating large language models on real clinical cases.

While AI agents delivered highly efficient, directionally aligned assessments, they did not fully capture the nuances of human clinical judgment and could not substitute for physician-centered evaluation and promise assistive tools that can triage or pre-screen outputs to reduce human burden.