The most popular open source electronic health records and medical practice management solution.

An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.

A generalizable application framework for segmentation, regression, and classification using PyTorch

A matlab suite for Psycho-Physiological Modelling

Python package for programmatic access to the National Biomedical Imaging Archive (NBIA) and The Cancer Imaging Archive (TCIA)

App handles GUI creation and image processing from DICOM files. Built using the PyQt5 library, it facilitates an interface with buttons and functions

Fast dictionary-based approach for semantic annotation / entity linking

Dicoogle - Open Source PACS

This project is release by KuoCh'ing Chang. We shooting this project to solve medical text processing.

case summaries uploader for Afib ablation procedures

We are a HealthTech organization promoting equitable health access in Tanzania through building and providing digital healthcare services. Founded in Tanzania since 2015, we serve marginalized Tanzanians identified through poverty, limited awareness, and negative cultural perceptions affecting

PIP is a recursive multicipher for medicals' documents and patients' chart verifying throught SHA-512-Vegenér algorithms embed in rookie ICD-11 and patient's IDs for hashing generation.

VesicleInsight is -will be- an advanced Python-based software utilizing machine learning to analyze medical imaging data, specifically focusing on vesicle anomalies. Our mission is to deliver a powerful tool for healthcare professionals, enhancing the precision and efficiency of early detection and diagnosis in medical imaging.

The physical activity analysis toolbox (PAAT) is a comprehensive toolbox to analyse raw acceleration data.

Codes for "Prescribing Large Language Models for Perioperative Care: What’s The Right Dose for Pretrained Models?"

A data science project involving data exploration, data engineering, and machine learning engineering to detect diseases in patients using machine learning.

Replacement for ordinary doctor

Collection of medical data in bangladesh

We look into social media to predict mental health ailments and signal to practitioners to supply preventive care or initiate care giving. From the paper: "The language of mental health problems in social media"