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.

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.

COVID 19 Detection Deep Learning Pytorch Model