AI-based medical laboratory is a project that aims to use artificial intelligence (AI), machine learning (ML) to improve the quality and efficiency of laboratory medicine. There are three modules like customer or local person, doctor and lab assistant. This project we built in MERN Stack.

明康慧医(MKTY)——基于LLM与多模态人工智能的健康管理与辅助诊疗系统设计与实现。（明康慧医智慧医疗系统）该项目已用于齐鲁工业大学（山东省科学院）计算机学部2025年毕业设计。项目作者：杜宇 @duyu09, 电子邮箱: qluduyu09@163.com [Source code of Design and Implementation of MINH KHỎE TUỆ Y - A Health Management and Assisted Diagnosis System Based on LLM and Multimodal Artificial Intelligence. (Minh Khoe Tue Y Smart Healthcare System)]

Web app for analysing skin lesion using machine learning

The Vivaldy (VerIfication and Validation of Ai-enabLeD sYstems) analysis tool and dashboard allows for automated subgroup performance analysis for AI algorithms.

MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.

A smart AI-based medical website with voice assistant support that predicts drug prescriptions based on symptoms using machine learning and enables interactive health guidance through text and voice.

COVID 19 Detection Deep Learning Pytorch Model

AI-MediBot Assistant using html,css,js

AI-powered medical scribe that records, transcribes, and generates accurate SOAP notes from doctor-patient conversations.