Green and Nature Association (GANA) Technologies, an international project based on the blockchain, has joined the technological race to create narrow artificial intelligence (AI) for the medical sector.
At the moment the project is at the stage of attracting investment and working on a mobile application which will perform two key functions: provision of personal care to patients and data collection responsible for training the AI.
Lately investing in the development of narrow artificial intelligence for medicine has become a popular trend. Narrow artificial intelligence — a kind of artificial intelligence that performs one specific function. This technology is already firmly established in many areas of our lives — Alexa mobile assistants Siri and Cortana, Recommender systems, major online retailers (Amazon, Target), avtopilotiruemy machines, news feeds, social networking, spam filters, and now finds wide application in medicine. Hundreds of companies, including giants such as IBM, Google and NVIDIA are developing their own AI solutions.
“The reason for this interest lies in the fact that the high pace of modern life, stress, bad ecology and population ageing in a natural way raise the demand for better medical care and accurate diagnoses. The introduction of AI technology and the ability to quickly search for patterns in large datasets, which they offer, will help the medicine to reach a new level,” explained CTO GANA Technologies Khodzhin Lee.
One of the most promising areas for the use of narrow artificial intelligence in medicine — personalized medicine. The idea of an individual approach to patients from different groups appeared in the times of ancient Greek philosophers, but the creation of a working model of personalized medicine has become possible only with the advent of modern data processing technologies. Narrow AI can be used for early diagnosis of diseases, determining the optimal course of treatment, the decryption of CT images, analysis and development of new drugs.
The use of AI in medicine, however, raises the question of ethics and bias: if the group that provides data for the learning AI is too small or too specific, the AI might be inclined to the same conscious and unconscious prejudices that are found in this group. Stanford University commented on this issue: “If we do not pay due attention to the creation of systems of machine learning or allow developers to create their in the form of “black boxes”, this may lead to problems of ethical terms.” And indeed, according propublica.org in 2016, the AI system used in the U.S. judicial system, showed a tendency to “racism”, predicting a higher risk of re-offending for African Americans, ceteris paribus. In medicine, when it comes to the health and lives of patients, bias cannot be tolerated, and the developers GANA with a responsible approach to an ethical issue.
GANA will use the latest technology of the blockchain to ensure the transparency of the process of learning AI, and each access to user data. The data in turn will be collected from a huge user community GANA: medical institutions, patients, researchers, manufacturers and distributors of pharmaceutical products, forming a quite broad and diverse sample in order to minimize the likelihood of bias AI.
To raise funds for the development, testing, and startup ecosystems GANA spends ICO. In the period from 21 may to 20 July 2018 the project will implement tokens GANA for work in the application and data access statistics. 1 token GANA will cost 0.00005 ETH; investors who purchase tokens during the first weeks of ICO will receive bonuses.