BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

Code for "Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation". [AAAI 2021]

"Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA"

This project leverages advanced AI agents from crewAI to assist doctors in diagnosing medical conditions and recommending treatment plans based on patient-reported symptoms and medical history. The solution uses Streamlit for the user interface and crewai library to define and manage AI agents and tasks.

A RESTful API using Flask and XGBoost to predict diabetes in Pima Indians based on various diagnostic measurements. Includes training, saving the best model, and testing the API using Python requests.

Supervised Contrastive Learning for Diabetic Retinopathy Classification

This Python script fetches and saves data for ICD-10 codes from the World Health Organization (WHO) API. It traverses the entire ICD-10 hierarchy, saving each code's data as a separate JSON file.

Machine Learning Model for predicting Heart Disease

This project aims to predict the presence of heart disease based on various medical attributes of an individual. It utilizes a logistic regression model trained on a dataset containing information about patients and whether they have heart disease or not.

MedicalAI