Supporting collaborative improvement of resources in the Khresmoi health information system

Since medical knowledge relies on both scientific knowledge and real-life experience, the importance of user contributions to improve resources in health systems cannot be underestimated. We present work from the Khresmoi project which aims to develop a multilingual multimodal search and access system for biomedical information and documents. Khresmoi targets three distinct user classes with differing levels of medical knowledge and information requirements, namely: general public, general practitioners, and, as an example of an area of clinical expertise, radiologists. The Khresmoi system will provide these users with valuable (whose quality has been evaluated and approved) and enriched (meta information from biomedical knowledge bases is added) medical information, selected to fit their medical knowledge and their preferred language. The system will include novel collaborative components of the system are designed to provide means for users to contribute to the system’s knowledge by adding or correcting annotations to the documents, as well as a collaborative platform where they will be able to share their own files and both annotate and discuss them

Khresmoi Professional: Multilingual Semantic Search for Medical Professionals

There is increasing interest in and need for innovative solutions to medical search. In this paper we present the EU funded Khresmoi medical search and access system, currently in year 3 of 4 of development across 12 partners . The Khresmoi system uses a component based architecture housed in the cloud to allow for the development of several innovative applications to support target users medical information needs. The Khresmoi search systems based on this architecture have been designed to support the multilingual and multimod al information needs of three target groups the general public, general practitioners and consultant radiologists. In this paper we focus on the presentation of the systems to support the latter two groups using semantic, multilingual text and image based (including 2D and 3D radiology images) search

Khresmoi: Multimodal Multilingual Medical Information Search

Khresmoi is a European Integrated Project developing a multilingual multimodal search and access system for medical and health information and documents. It addresses the challenges of searching through huge amounts of medical data, including general medical information available on the internet, as well as radiology data in hospital archives. It is developing novel semantic search and visual search techniques for the medical domain. At the MIE Village of the Future, Khresmoi proposes to have two interactive demonstrations of the system under development, as well as an overview oral presentation and potentially some poster presentation

Khresmoi – multilingual semantic search of medical text and images

The Khresmoi project is developing a multilingual multimodal search and access system for medical and health information and documents. This scientific demonstration presents the current state of the Khresmoi integrated system, which includes components for text and image annotation, semantic search, search by image similarity and machine translation. The flexibility in adapting the system to varying requirements for different types of medical information search is demonstrated through two instantiations of the system, one aimed at medical professionals in general and the second aimed at radiologists. The key innovations of the Khresmoi system are the integration of multiple software components in a flexible scalable medical search system, the use of annotation cycles including manual correction to improve semantic search, and the possibility to do large scale visual similarity search on 2D and 3D (CT, MR) medical images

Painting as a learning-service instrument of arboreal ecosystems in Avd. Complutense

Catálogo de la exposición del proyecto: https://eprints.ucm.es/63497/1/AEDES%20ARBORIBUS%20ECOSYSTEN%20UCM.pdf Vídeo de difusión del la exposición: https://youtu.be/AZ-kXaU9WgQEl proyecto de innovación se ha basado en el uso del lenguaje de la pintura como herramienta fundamental en el conocimiento del ecosistema arbóreo de la Avd. Complutense a través de la metodología servicio-aprendizaje. El grupo de trabajo de 7 asignaturas del Grado de Bellas Artes UCM, se ha centrado en la difusión del patrimonio natural y medioambiental a través de la pintura de paisaje, así como en la edición de un catálogo virtual de representaciones pintadas de los árboles más singulares de dicho territorio.The innovation project has been based on the use of the language of painting as a fundamental tool in the knowledge of the arboreal ecosystem of Avd. Complutense through the service-learning methodology. The working group from 7 subjects of the Bachelor of Fine Arts UCM, has focused on disseminating the natural and environmental heritage through landscape painting, as well as the edition of a virtual catalog of painted representations of the most unique trees of said territory.Depto. de Pintura y Conservación-RestauraciónFac. de Bellas ArtesFALSEUniversidad Complutensesubmitte