# Medical Diagnosis Assistance

An image classification model fine-tuned on the BrainMRI dataset based on Google's ViT base model

Med42-v2 is a clinically aligned large language model suite developed by M42, based on the LLaMA-3 architecture, available in 8B or 70B parameter versions, designed to provide high-quality medical Q&A capabilities.

Med42-v2 is an open-access clinical large language model suite developed by M42, built on LLaMA-3, containing 8 billion or 70 billion parameters, capable of high-quality medical question answering.

A brain tumor image classification model fine-tuned based on microsoft/resnet-50, achieving an accuracy of 91.71% on the evaluation set

X-ray pneumonia detection model based on ViT architecture, achieving 97.73% accuracy after fine-tuning on a specific dataset