[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
- Updated
Jul 10, 2026
[Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine. A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
This repository is a summary of "AI for Medicine" lectured by Deeplearning.ai, Coursera. (https://www.coursera.org/specializations/ai-for-medicine)
PHD Research Focus
This repository includes all notes of AI in Healthcare Specialization offered by the Standford University.
sMRI based depression classification using 3D volumetric convolutional networks
Official repository for "Interpretable Machine Learning Approach for Breast Cancer Classification" - exploring Logistic Regression, Decision Trees, Random Forest, and CatBoost with LIME for interpretable AI in healthcare.
AI-powered multi-agent healthcare diagnosis system with symptom analysis, diagnosis, and treatment recommendations
Preview of the AIMLab website. Official site: https://ai-in-medicine-lab.github.io/
Hybrid Quantum–Classical model for brain tumor classification using Quantum FiLM modulation and ResNet-18. Supports multi-class MRI tumor detection with quantum circuit integration.
🧠 Classify brain tumors using a hybrid QCNN with ResNet for accurate MRI image analysis across multiple categories, including no tumor detection.
Project of Applied AI in Biomedicine
AI in Medicine projects focused on medical imaging, retinal analysis, radiomics, machine learning, and deep learning
Three-lane AI navigator for medical research: statistics, bioinformatics, and paper outputs
Chest X-ray classification model for detecting pleural effusion using transfer learning. The project utilizes ResNet50V2 and data augmentation to improve classification accuracy.