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Kahun - an interactive medical knowledge base, for modeling medical knowledge and managing diagnostic processes, as well medical knowledge related to COVID-19.

Descripción del proyecto

Aplicación de diagnóstico para móviles destinada a profesionales sanitarios

Los errores médicos representan un problema mundial que ocasiona miles de muertes e incapacidades permanentes en todo el mundo. El proyecto financiado con fondos europeos Kahun aporta fondos a la investigación de Kahun Medical (Israel) para desarrollar una aplicación de diagnóstico diferencial (DD) basada en la web y para teléfonos inteligentes, diseñada para médicos y estudiantes de medicina. La aplicación, cuya base de datos se actualiza regularmente con definiciones médicas, conceptos y referencias de la literatura científica, permite a los usuarios introducir síntomas y resultados de pruebas analíticas para obtener un DD y una ruta que va desde variables hasta un posible diagnóstico y una serie de sugerencias para el tratamiento del paciente. Además, sus innovadores algoritmos bayesianos identifican la probabilidad de que se produzcan relaciones cruzadas entre distintos elementos de la base de datos. Esta novedosa herramienta resultará especialmente útil en la actualidad, cuando la principal prioridad es la contención de la pandemia de COVID-19.

Objetivo

Medical errors are recognized as a world-wide problem - this includes mistakes in performing Differential Diagnosis resulting in sending patients to unnecessary tests, missing vital tests, and additional mistakes along the patient management process. In E.U countries alone, medical errors amount to 750,000 Million errors a year, resulting 3.2 million more hospitalizations, 260,000 permanent disabilities and 95,000 deaths each year.
The product is a smartphone application (and a web-based version), designed for doctors and medical students. Inspired by crowd-based platforms, its database is regularly updated using a dedicated editor for inputting medical definitions, concepts, and references from the professional medical literature, and for annotating the knowledge and defining relations between elements. So far, Kahun has already established an exclusive database for Internal Medicine's ontology, comprising of more than 50 thousand elements and relations.
Kahun's innovative Bayesian algorithms, identify probabilistic relations between the elements in the database - within the tens of thousands of elements scattered across many layers of depth, it creates a massive knowledge graph of probabilistic relationships within the medical ontology. By now, Kahun generates more than 3 Million insights for relations between medical concepts.
Kahun allows users to enter variables such as symptoms and lab test results, and presents them a Differential Diagnosis, along with a clear Path to Evidence – track leading from variables to possible result, presented in a graphical correlations map between all elements and with specific references from the literature, and it provides a series of suggestions for patient management such as which lab tests or imaging are the best next step.
The company plans to expand the knowledge graph into additional medical fields and provide even greater value. The company expects to reach total revenues of €207 Million by the end of 2026.

Convocatoria de propuestas

H2020-EIC-SMEInst-2018-2020

Consulte otros proyectos de esta convocatoria

Convocatoria de subcontratación

H2020-EIC-SMEInst-2018-2020-3

Régimen de financiación

SME-2 - SME instrument phase 2

Coordinador

KAHUN MEDICAL LTD
Aportación neta de la UEn
€ 2 375 498,13
Dirección
114 IGAL ALON ST
6744320 Tel Aviv
Israel

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Pyme

Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.

Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
€ 3 393 568,75