Up Great technology contest to develop a clinical decision support system for final diagnosis.
TECHNOLOGICAL BARRIER
The challenge is to design an AI technology able to make a final medical diagnosis with an accuracy, reliability and efficiency acceptable for healthcare purposes based on an analysis of a variety of clinical, laboratory, diagnostic and anamnestic data as well as medical knowledge and clinical guidelines.
The main disease areas of the contest are respiratory diseases including lung cancer, pneumonia, lung damage from COVID-19, and others.
The evaluation of the developed AI system includes among other things the explanation of the diagnosis (interpretability), the simplicity of the clinical decision-making process (number of iterations), and the correctness of the diagnostic or therapeutic processes for the patient (time, cost, health safety).
As a result, the developed clinical decision support system (CDSS) will be created to ensure the correct and timely diagnosis made by general practitioners for the effective delivery of medical care.
No special equipment will be required to use this system. We expect that clinicians will be able to use it, regardless of the location and level of equipment of the medical institution - it will be enough to have a computer and Internet access.
The contest will last until the end of 2024 and will consist of several stages: registration stage, qualification, semi-final and final tests. Participants should form a team of 2 to 10 members aged 18 or older.
Why it is important?
The reduction of medical errors is a global issue. The Executive Board of the World Health Organization approved the Patient Safety Strategy that defines the key measures to improve the healthcare delivery. Every country needs to implement programs in order to decrease mortality rate caused by malpractice.
Clinical decision support system (CDSS) is one of the efficient tools to find solution to the challenge. It should be able to make the final diagnosis, including the main disease, medical sequela, co-existing disease.
Technologies that will be developed during the contest can become a key element of a variety of innovative products in medicine and healthcare as well as in other areas that require integration in one process of machine learning technologies, natural language processing and unstructured data.
FAQ
To take part in the contest the team should consist of at least 2 and maximum 10 members, including the team leader, though we do not limit the number of people who take part in design processes and team preparation for the tests.
The team may consist only of citizens of full legal age or equivalent as provided by the emancipation of minors procedure according to the legislation of the Russian Federation. If you don’t have a team yet — we will help you find one or form a new team.
You should submit an application on this website. Now only a preliminary registration form is available. The official registration will be launched by the end of 2021
The official application submission will start by the end of 2021. Now only the preliminary registration is opened for those who would like to be informed on the contest updates.
Then the Judging panel collects the consolidated results of the automated data verification for all participants of the Qualification. Then the Technical Commission verifies these results.
The operating model of the RVS as well as the criteria for assessing the diagnosis made by the CDSS will be defined in the Technical guidelines (to be developed).
The contest consists of the following stages:
-
Registration
-
Qualification (remote)
-
Semi-finals (remote)
-
Final testing (offline in Moscow)
