The first working prototype of the platform is hosted on the popular GitHub service, and developers from all over the world can take part in its improvement by adding verification criteria depending on the purpose of the services.
Center for Diagnostics and Telemedicine
Experts from the Center for Diagnostics and Telemedicine have developed a platform for self-testing services which is based on artificial intelligence and designed for medical tasks, such as for analyzing diagnostic images. The first working prototype of the platform is hosted on the popular GitHub service, and developers from all over the world can take part in its improvement by adding verification criteria depending on the purpose of the services. Sergey Morozov, CEO of the Center for Diagnostics and Telemedicine, spoke about this at the thematic week dedicated to artificial intelligence which was part of the program of the European Congress of Radiology (ECR 2020).
Before implementing a service based on artificial intelligence (AI) into routine clinical practice, it is necessary to test it for technical readiness, as well as to verify whether it meets the stated characteristics. It is called analytical validation of the algorithm. The services that have passed it are allowed to be integrated into medical systems, including city healthcare.
Integration is a complex and expensive process, so it becomes a barrier for many teams that cannot guarantee the required accuracy and speed of the algorithm processing data of the system into which they are integrated. Currently analytical validation is performed manually. Manual validation allows accidental or deliberate deviations from the approved test program, as well as manipulation of datasets, and also can potentially put different test participants in unequal conditions.
To solve these problems and automate the verification process, ensuring trust of users, specialists of the Center for Diagnostic and Telemedicine have developed a platform that allows developers of AI-based services to independently conduct preliminary tests (analytical validation) of their algorithms. A prototype of the platform has been hosted on the GitHub, and the first version of the service for exchanging datasets and data analysis results has already been uploaded.
The platform provides an opportunity for the unlimited number of accesses to single samples of data instances from the test set in order to fine-tune algorithms. It has uniform rules of use, and it is possible to test several services simultaneously. At the same time, the platform records the time that the software spends on data processing (time-study), and the developers receive an automatic report on the results of testing, – explains Sergey Morozov, CEO of the Center for Diagnostic and Telemedicine.
By automating the entire process on the self-testing platform, the human factor is minimized, which makes data manipulation (to improve results) impossible. In addition, the comparison of the service’s verification results with the reference data is absolutely transparent – the developer can see what metrics were used, and how the final result reflected in the report was calculated.
Anyone can take part in improving the platform and add necessary metrics to it, which will be used to evaluate the algorithm’s performance for certain medical purposes (for example, for analyzing radiographs or mammograms). However, the addition of the platform will be monitored – the only metrics that have scientific justification will be included in the platform operating on the basis of the Center, – notes Nikolai Pavlov, the developer of the platform, Head of Dataset Labeling Conveyor of the Medical Informatics, Radiomics and Radiogenomics Sector, Center for Diagnostics and Telemedicine.
The creators of the platform invite developers of AI algorithms, programmers and researchers to take part in updating and improving the platform in order to develop a uniform, universal, and user-friendly tool for self-testing of artificial intelligence algorithms intended for medical purposes in the international community. At the moment, there is no such tool aimed specifically at the clinical implementation of services based on AI technologies.
The Latest Updates from Bing News & Google News
Go deeper with Bing News on:
AI medical services
- Healthcare AI: How one hospital system is using technology to adapt to COVID-19on September 3, 2020 at 8:49 am
One Illinois hospital system is using artificial intelligence and other technologies to keep patients safe and the hospital in full operation during a pandemic.
- SoftBank Leads $100 Million Investment In AI And Digital Therapeutics Startup Biofourmison September 2, 2020 at 4:16 pm
Cofounder and CEO Kuldeep Singh Rajput quit his PhD program to pursue a lofty goal: use artificial intelligence to predict disease before it happens.
- Ricoh unveils new AI-powered digital transformation ecosystem to drive Workflow and Process Automationon September 2, 2020 at 6:41 am
today unveiled a new workflow and process automation ecosystem that enables digital transformation and imparts business in ...
- Perimeter Medical Imaging AI Announces Update Regarding Interim Financial Statementson September 1, 2020 at 8:41 am
TORONTO, CANADA / ACCESSWIRE / August 31, 2020 / Perimeter Medical Imaging AI, Inc. (TSXV:PINK)(FSE:4PC), a medical technology company driven to transform cancer surgery with ultra-high-resolution, ...
- Perimeter Medical Imaging AI Announces Appointment of Steve Sapot as Chief Commercial Officeron September 1, 2020 at 8:18 am
TORONTO, ON / ACCESSWIRE / September 1, 2020 / Perimeter Medical Imaging AI, Inc. (TSXV:PINK)(FSE:4PC), a medical technology company driven to transform cancer surgery with ultra-high-resolution, real ...
Go deeper with Google Headlines on:
AI medical services
Go deeper with Bing News on:
Self-testing of artificial intelligence algorithms
- Artificial intelligence is a totalitarian’s dream — here’s how to take power backon September 5, 2020 at 10:33 am
Artificial intelligence (AI) will change this. It will know us better than we know ourselves. A government armed with AI could claim to know what its people truly want and what will really make them ...
- 3 Predictions For The Role Of Artificial Intelligence In Art And Designon September 3, 2020 at 9:40 pm
Artificial Intelligence (AI) is transforming many aspects of our lives and businesses, and art and design are no different. In this post we look at the role AI will play in art and design and explore ...
- The fourth generation of AI is here, and it’s called ‘Artificial Intuition’on September 3, 2020 at 10:12 am
Artificial Intelligence (AI) is one of the most powerful technologies ever developed, but it’s not nearly as new as you might think. In fact, it’s undergone several evolutions since its inception in ...
- Teaching evolutionary theory to artificial intelligence reveals cancer's life historyon September 3, 2020 at 6:40 am
Scientists have developed the most accurate computing method to date to reconstruct the patchwork of genetic faults within tumors and their history during disease development, in new research funded ...
- The Impact of Artificial Intelligence on Workspaceson August 31, 2020 at 9:04 am
It is a truth universally acknowledged that artificial intelligence will change everything. In the next few decades, the world will become intelligible, and in many ways, intelligent. But insiders ...