Please note that this Website is not maintained any longer and contains probably outdated information. You are still welcome to use it if it is of any help.
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ATOM is an OMERO client which allows automated import of image data into OMERO.
Oviyam is a web based DICOM Viewer. Using standard DICOM protocols patient lists can be queried, particular series or studies retrieved and be displayed as JPEG images in your browser. Oviyam will work with any DICOM server that supports WADO (Web Access to DICOM Persistent Objects).
Oviyam is a free download and is pre-packaged for deployment with JBoss.
The source is triple licensed under MPL 1.1/GPL 2.0/LGPL 2.1.
Oviyam is built using the dcm4che toolkit and script.aculo.us framework.
The HL7 Inspector is a useful hl7 tool for integration the HL7 in a health care environmental. It will help you to minimize the time for tuning the HL7 communication between systems such as HIS and RIS by analyzing and validating HL7 messages.
L'application H-Monitor est un outil permettant de suivre l'évolution du rythme cardiaque en quasi temps réel. Associée à la ceinture Polar T31C, l'application retranscrit les pulsations cardiaques sur un graphique. Grâce à son intelligence artificielle embarquée, elle détecte les anomalies et prévient automatiquement les secours.
Elle intègre également un système de géolocalisation qui positionne l'utilisateur à intervalles de temps réguliers.
Toutes ces données sont envoyées et stockées sur un serveur consultable à distance.
The main goal of the Computer Assisted Search for Epidemics (CASE) project is to develop a reliable system that generates warnings when the number of reported cases of a particular infectious disease reaches a level that indicates an unusual or unexpected rate. The system is currently in use at the Swedish Institute for Infectious Disease Control (SMI). It performs daily surveillance using data obtained from the database to which all notifiable diseases are reported in Sweden.
The purpose of the dicom4j platform is to provide java components related to the Dicom Standard. For those purpose, the platform is based on 4 areas:
EGADSS (Evidence-based Guideline and Decision Support System) is an open source tool that is designed to work in conjunction with primary care Electronic Medical Record (EMR) systems to provide patient specific point of care reminders in order to aid physicians provide high quality care. EGADSS is designed as a stand alone system that would respond to requests from existing Electronic Medical Records such as Wolf, Med Access, and MedOffIS to provide patient specific clinical guidance based on its internal collection of guidelines.
Photograph, manage, view, compare, document healing processes and archive digital pictures fully integrated into doctor's practice systems. Take a photo and immediately see how the picture gets archived to your current patient automatically.
A Cross-platform DICOM viewer developed in Java using the dcm4che toolkit. Mayam is still work under progress. The current features are:
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
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