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

Informations projet

Kahun

N° de convention de subvention: 961253

DOI

10.3030/961253

Projet clôturé

Date de signature de la CE 28 Juillet 2020

Date de début 1 Août 2020

Date de fin 31 Juillet 2022

Financé au titre de

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Coût total

€ 3 393 568,75

Contribution de l’UE

€ 2 375 498,13

Coordonné par

KAHUN MEDICAL LTD
Israel

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (1)

Fully approved GDPR compliance

A thorough examination of CE GDPR and GSPD requirementsAdjusting the platform to hold up to all CE GDPR and GSPD regulatory requirements

Other (3)

Improved UI, Launch V2.0 of the mobile app

– Improving user interface: We intend to re-design the mobile interface to make it more friendly and intuitive. Results view will be optimized.

Launch “COVID-19” dedicated web based map/symptomizer

a. Develop dedicated interface that will enable us to share the continuously updated knowledge cataloged by Kahun in a visible manner with the medical and scientific community, with an overview of the clinical picture relevant for COVID-19 and to easily find access relevant literature. b. We intend to develop a “COVID-19” dedicated symptomizer, which will help physicians in assessing patients and considering their match against a match with other diseases which come up with the COVID-19 differential diagnosis.

New data input mode. Launch V2.0 of the mobile app

Some of the feedback we are getting signals that our findings entry options are limited. Which results either in time-wasted or in in-complete finding entry by the Physician. Data entry will be modified to deal with multiple features entry to enable better description of clinical manifestations. (i.e. a physician will be able to enter findings as a panel and not only one by one. E.g. complete blood count or physical exam).

Publications

Non-peer reviewed articles (1)

Evaluating Diagnostic Accuracy of a New Artificial-Intelligence Driven Diagnostic Support Tool

Auteurs: Niv Ben-Shabat; Arial Sloma; Tomer Weizman; David Kiderman; Howard Amital
Publié dans: JMIR Medical Informatics, 2021, ISSN 2291-9694
Éditeur: JMIR Publications
DOI: 10.2196/preprints.32507

Peer reviewed articles (1)

Development and validation of a knowledge-driven risk calculator for critical illness in COVID-19 patients

Auteurs: Amos Cahan, Tamar Gottesman, Michal Tzuchman Katz, Roee Masad, Gal Azulay, Dror Dicker, Aliza Zeidman, Evgeny Berkov, Boaz Tadmor, Shaul Lev
Publié dans: The American Journal of Emergency Medicine, 2020, ISSN 0735-6757
Éditeur: W. B. Saunders Co., Ltd.
DOI: 10.1016/j.ajem.2020.09.051