EchoVLM is a dynamic mixture of experts vision-language model designed specifically for the medical ultrasound field. It can process image and text inputs and generate text outputs, and has important application value in ultrasound intelligent diagnosis.

MultimodalTransformersMultiple Languages

MedScholar-1.5B is a lightweight, instruction-aligned medical Q&A model built on Qwen2.5-1.5B-Instruct. It is fine-tuned using 1 million examples from the MIRIAD-4.4M dataset and is specifically designed for clinical knowledge exploration, but cannot be used for medical diagnosis.

Natural Language ProcessingTransformersEnglish

A zero-shot skin disease assessment model based on vision-language pre-training technology, integrating multi-faceted knowledge enhancement to provide an effective tool for skin disease research and diagnosis.

MultimodalOpenclip

DrMedra4B is a quantitative model focused on the medical field, supporting both English and Romanian, suitable for tasks such as medical artificial intelligence, clinical reasoning, abstract generation, and diagnosis.

natural language processingTransformersMultiple Languages

Patho-R1-7B is a multimodal reasoning model specifically designed for the field of pathology. It enhances the understanding ability of pathological diagnosis through a three-stage training pipeline (continuous pre-training, supervised fine-tuning, and reinforcement learning), and can effectively handle high-resolution pathological images and complex diagnostic reasoning tasks.

MultimodalTransformersEnglish

A medical diagnosis expert model fine-tuned based on Qwen3-0.6B, excelling in parsing clinical information and generating structured diagnostic conclusions.

Natural Language ProcessingTransformersEnglish

An AI assistant based on the T5 framework, integrating technical expertise with the Five Elements theory, capable of model diagnosis, content enhancement, and team optimization

Natural Language ProcessingSafetensors

This is a dialogue model focused on the medical field, with special emphasis on integrated Chinese and Western medicine diagnosis and treatment recommendations.

Natural Language ProcessingGgufMultiple Languages

This is a binary classification image model based on the google/siglip2-base-patch16-224 architecture, specifically designed to detect fractures in skeletal X-ray images. This model has important application value in medical diagnosis, clinical triage, and radiology assistance systems.

Computer VisionTransformersEnglish

A mental health diagnosis model fine-tuned based on Bio_ClinicalBERT, used to predict mental health status from patient self-reported texts.

Natural Language ProcessingSafetensorsEnglish

A medical diagnosis AI model optimized through LoRA fine-tuning and 4-bit quantization technology based on the Mistral-7B language model, focusing on symptom analysis and disease diagnosis assistance.

Natural Language ProcessingTransformersEnglish

This is a medical AI assistant model based on a hybrid architecture of LLaMA, GPT, and DeepSeek, specifically designed for medical diagnosis reasoning and treatment recommendation assistance. It was trained on 80 million medical records and has in - depth medical knowledge, but is currently only used for research and testing purposes.

Natural Language ProcessingSafetensorsMultiple Languages

HuBERT - ECG is a basic model pre-trained through self-supervised learning on a large-scale and diverse electrocardiogram (ECG) dataset. It can be quickly fine-tuned and applied to various cardiovascular disease diagnosis and event prediction tasks by adding a simple output layer, demonstrating excellent performance and wide applicability.

Scientific ComputingTransformers

A text generation model in the medical domain based on the transformers library, focusing on medical research and disease diagnosis assistance.

Natural Language ProcessingTransformers

A large language model fine-tuned with traditional Chinese medicine knowledge, capable of TCM diagnosis, ancient text translation, and knowledge Q&A

Natural Language ProcessingTransformersChinese

Diabetica is a large language model designed specifically for diabetes care and management, capable of handling various medical tasks such as diagnosis, treatment advice, and medication management.

Natural Language ProcessingTransformers

A fine-tuned version based on the LLaVA 7B model through dermatological image transfer learning, specializing in skin disease diagnosis

MultimodalTransformers

This is a pathological image analysis model based on the Vision Transformer architecture, specifically designed for the classification and feature extraction of medical pathological images. The model performs excellently on multiple pathological image datasets, providing an effective AI solution for pathological diagnosis and research.

Computer VisionTimm

This model can convert medical images (such as X-rays) into descriptive text to assist in medical diagnosis.

MultimodalTransformers

This is a wound classification model fine-tuned based on the Google Vision Transformer architecture, achieving an accuracy of 95.75% on the evaluation set and providing auxiliary tools for medical diagnosis.

Computer VisionTransformers