StanfordShahLab/motor-t-base

This deep learning model is designed for ECG image classification, fine-tuned using ResNet-50. It can classify ECG images into different categories to assist in heart disease detection.

MedPsy-4B is a state-of-the-art, text-only medical and healthcare language model purpose-built for edge deployment. Built on top of Qwen3-4B-Thinking-2507 and post-trained with a multi-stage pipeline (supervised fine-tuning + reinforcement learning) on curated medical data, it surpasses models…

Apertus-8B-MeditronFO is a 8B-parameter medical specialist LLM, produced by supervised fine-tuning of Apertus-8B-Instruct on the Fully Open Meditron Corpus.