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TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
中文医疗对话模型扁鹊(BianQue)
BCDU-Net : Medical Image Segmentation
[ACL 2024 Findings] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning https://arxiv.org/abs/2311.10537
Functioning Doctor/Healthcare Catalog App created using Dart with Flutter. Stores and loads data from Firebase Firestore DB.
This repository is about the OwnHealthRecord Application Web App
Medic.ly - Health and Doctor Appointment App made with Flutter. With this you can book an online appointment to a doctor in advance.
Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models
A novel medical large language model family with 13/70B parameters, which have SOTA performances on various medical tasks
To cure symptoms of various disease using medicines at home this app will act as guideline. Few animations are used and Firebase is used as database.
Exploring the potential of fine-tuning Large Language Models (LLMs) like Llama2 and StableLM for medical entity extraction. This project focuses on adapting these models using PEFT, Adapter V2, and LoRA techniques to efficiently and accurately extract drug names and adverse side-effects from pharmaceutical texts
Surgical Image Guidance and Healthcare Toolkit
Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
An Open Source Hospital Management System
[arxiv'25] MedAgentGYM: Training LLM Agents for Code-Based Medical Reasoning at Scale
The Labinator Medical Symptom Checker helps you understand the possible causes of symptoms in children and adults. It uses the USWDS UI components and programmed in JavaScript.
Awesome list for deep learning on medical research
An example SwiftUI CareKit app that auto synchronizes iOS/watchOS/visionOS to the cloud via ParseCareKit and parse-hipaa