Periodic Reporting for period 1 - Kahun (Kahun - an interactive medical knowledge base, for modeling medical knowledge and managing diagnostic processes, as well medical knowledge related to COVID-19.)
Periodo di rendicontazione: 2020-08-01 al 2021-07-31
With 30M+ PubMed articles, physicians need help finding the knowledge relevant to their patients. Even physicians with access to these publications may be either working alone in remote locations or overloaded with patients with less time to consult new research to support their diagnosis and decisions.
Kahun brings updated, integrated medical knowledge to physicians in an intuitive, actionable way that can’t be achieved through text-based tools. The AI engine generates and infers from a huge knowledge graph that links diseases, findings, complications, risk factors, causal information, and statistics. The platform is continuously updated to integrate knowledge from across the medical literature and epidemiologic databases.
Objectives of the H2020 grant project: to improve the platform's usability, refine the model, research regulatory and security requirements, and ongoing internal knowledge graph building, all with the goal of making the product ready for commercialization.
Kahun brings updated, integrated medical knowledge to physicians in an intuitive, actionable way that can’t be achieved through text-based tools. The AI engine generates and infers from a huge knowledge graph that links diseases, findings, complications, risk factors, causal information, and statistics. The platform is continuously updated to integrate knowledge from across the medical literature and epidemiologic databases.
Objectives of the H2020 grant project: to improve the platform's usability, refine the model, research regulatory and security requirements, and ongoing internal knowledge graph building, all with the goal of making the product ready for commercialization.
Kahun launched a COVID-19 dedicated knowledge map/symptomizer along with a newly released V2.0 of the platform with a reworked UI/UX, data input and flow of the Kahun diagnosis assistant to improve ease-of-use, information collection, suggestions accuracy, and input time. Ongoing tasks include improving the model and solving algorithm in the backend of V2.0 ongoing knowledge graph content building and moderation, and researching compliance requirements. Kahun is working on equity WPs including the next step engine, updating the medical knowledge editor, and communicating and disseminating the project and platform.
State of the art solutions are either designed for patients or are virtual care companies using AI to provide chat-based primary care, neither of which address findings related to physical tests, labs, imaging, etc. They don’t deal with less prevalent diseases, but rather focus on the most common ones. Tools offering differential diagnosis for physicians do not offer clinical reasoning, links to sources, or guided workup like Kahun.
By the end of the project, Kahun will have completed V2 of the Kahun application, both frontend and backend, including UI/UX, data input methodology, improved model and solving algorithm, and expanded medical knowledge graph.
Social benefits: 1st class care for billions in developing countries, improve diagnosis and patient care despite reduced expert staff, prevent misdiagnosis, and support/guidance to medical students and young physicians.
By the end of the project, Kahun will have completed V2 of the Kahun application, both frontend and backend, including UI/UX, data input methodology, improved model and solving algorithm, and expanded medical knowledge graph.
Social benefits: 1st class care for billions in developing countries, improve diagnosis and patient care despite reduced expert staff, prevent misdiagnosis, and support/guidance to medical students and young physicians.