Qingnang Smart Diagnosis is an end-to-end AI healthcare framework with field-proven application capabilities, designed to provide efficient and intelligent solutions for the medical industry.
-
Updated
Sep 1, 2025 - Shell
#
medical-ai-project
Here are 7 public repositories matching this topic...
machine-learning insurance health kaggle medical healthcare kaggle-dataset machine-learning-projects medical-ai machine-learning-project insurance-premium-predictor medical-project medical-ai-project
-
Updated
Jun 9, 2023 - Jupyter Notebook
AI-powered chest X-ray pneumonia detection with 86% accuracy and 96.4% sensitivity, validated on an independent (cross-operator) cohort of 485 pediatric samples. Built with TensorFlow & FastAPI.
python machine-learning computer-vision deep-learning tensorflow python3 medical-imaging radiology keras-tensorflow chest-xrays machine-learning-projects pneumonia-detection fastapi clinical-ai healthcare-ai medical-ai-project external-validation
-
Updated
Aug 22, 2025 - Python
This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.
data-science machine-learning data-visualization text-extraction artificial-intelligence healthcare medical-imaging data-analysis datasets annotation-framework data-quality demographic-analysis medical-image-processing miccai pdf-data-extraction medical-ai healthcare-ai miccai2023 medical-ai-project
-
Updated
May 15, 2024 - Jupyter Notebook
An intelligent machine learning model for classifying breast cancer cells as benign or malignant using the UCI Breast Cancer Wisconsin dataset.
machine-learning sklearn data-visualization python3 healthcare xgboost classification logistic-regression breast-cancer-prediction knn decision-tree svm-model cancer-detection medical-ai-project
-
Updated
Apr 5, 2025 - Jupyter Notebook
An AI-powered web application to analyze medical images such as X-rays, MRIs, CT scans, and ECGs, helping doctors and technicians make faster and more accurate preliminary diagnoses.
-
Updated
Jun 3, 2025 - JavaScript
An end-to-end system for automated Diabetic Foot Ulcer (DFU) grade classification, treatment recommendation, explainability, and report generation — integrated with a mobile app and powered by deep learning and Supabase.
-
Updated
May 21, 2025 - Python
Improve this page
Add a description, image, and links to the medical-ai-project topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the medical-ai-project topic, visit your repo's landing page and select "manage topics."