When we fully consider how medicine has developed in the past century, it could be easy to become complacent and assume that we have advanced our methods and treatment capabilities as much as possible. However, a 2016 study revealed quite shocking statistics regarding health errors; namely, 250,000 US citizens have been killed each year as a result of medical errors, such as misdiagnosis or incorrect administration of doses by health professionals. This places it technically the third most deadly in the United States, behind heart disease and cancer. Estimates of the economic costs of these errors reach up to $ 20.8 billion annually. Since human error is one of the leading causes of medical errors, the health care industry is now able to resort to artificial intelligence (AI).

Skychain is a key player in the use of AI health. a project that aims to use Blockchain to train and use AI systems in medical care. Their white paper says that they aim to control 70% of the estimated $ 200 billion medical AI market (estimated by IBM), thanks to their network of artificial neural networks (ANNs), which allows for diagnose patients and prescribe appropriate treatments. . They aim to "provide an engineering opportunity, teach and host neural networks and provide paid access for independent specialists and organizations." By using smart contracts, they hope to bring together many players (data providers from health, independent AI developers, cryptomarkers and consumers – doctors and patients) to create an effective solution.

Developers can submit ready-made ANN models for physicians to choose from when diagnosing a patient. Once the networks have analyzed the data and returned the diagnostic information to the physician, the developers and miners who provided the computing power will receive financial compensation.

The establishment of these symbiotic relationships will involve laboratories of medical institutions with large data sets. seeking to set up and train their own neural networks (which can then be used by others). They can offer these datasets for ANN training by developers. These developers can use a 'SkyConstructor' interface, and using a ready-made ANN model can edit it to meet the requirements of the institution once uploaded into Skychain. Once the RNA has completed the learning process, it can be published. Skychain uses the analogy of the hugely popular Uber taxi service: ANN developers are drivers, doctors and patients, passengers, and computer and miners' servers.

Sale of Tokens

The ICO will begin February 26, 2018, with a total sale of 36 mln Skychain Tokens (SCH) available, at a SCH = $ 1. They will continue their roadshow by exhibiting at various conferences around the world, including blockchain conferences in India and Russia. According to their roadmap, by June 2018, "Skychain infrastructure is fully built and the first participants connect to it: medical data providers, medical AI developers and hospitals. "They aim to be fully established by June 2019 and become" the leader in the medical AI market.

The team behind Skychain prides itself on an impressive experience.The founder Genendy Popov has more than a decade of experience in programming and extensive training in computer science , and the chief technology officer Ivan Svistunov has extensive experience as a software architect in Blockchain.

Human Doctors Against Machines

Skychain says his mission is to d & # 39; save 10 million death lives related to errors in a decade.Before the full launch, the Skychain team has created a prototype of the system, with its source code.There is also a video demonstrating the system, for those who want to know more.

Skychain also presented a demonstration of his AI diagnostic system on Feb. 20, comparing him to face-to-face physicians. diagnose melanoma, breast cancer and heart disease, and the team says that there were cases of greater accuracy with the AI ​​system. The team provided a video of the demonstration. If the results can be verified, it will be an extremely exciting step forward in health diagnostics.