Project description
Diagnostic smartphone application for medical professionals
Medical errors represent a global issue, resulting in thousands of permanent disabilities and deaths each year. The EU-funded Kahun project is providing funds to Kahun Medical (Israel) to develop a smartphone and a web-based application for differential diagnosis (DD), designed for doctors and medical students. The application, whose database is regularly updated for medical definitions, concepts and references from medical literature, allows users to enter symptoms and lab test results, presenting them with a DD together with a path leading from variables to possible diagnosis and a series of suggestions for patient management. Moreover, its innovative Bayesian algorithms identify the probability of cross-relations between the elements in the database. This novel tool is set to become especially useful in current times, when containing the COVID-19 pandemic is a top priority.
Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesknowledge engineeringontology
- natural sciencescomputer and information sciencesdatabases
- medical and health sciencesclinical medicineinternal medicine
- medical and health scienceshealth sciencesinfectious diseasesRNA virusescoronaviruses
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
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Programme(s)
Funding Scheme
SME-2 - SME instrument phase 2Coordinator
6744320 Tel Aviv
Israel
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.