automate clinical reporting

A workshop was conducted to discuss recent advances in artificial intelligence for Alzheimer’s disease diagnosis, focusing on the integration of Enhanced Vision Transformers (ViTs) and Large Language Models (LLMs). The workshop aimed to explore how modern deep learning techniques can improve the accuracy of medical image analysis and automate clinical reporting. The presented work introduced an AI-based framework that utilizes Vision Transformers for extracting global and discriminative features from brain MRI scans to classify Alzheimer’s disease stages, including Normal Control (NC), Mild Cognitive Impairment (MCI), and Alzheimer’s Disease (AD). In addition, Large Language Models were incorporated to automatically generate clear and [...]