Viber chatbots and AI diagnostics: breaking news in the AI world Viber chatbots and AI diagnostics: breaking news in the AI world

Viber claims a new chatbot policy, neural networks scan for cancer and childhood diseases while an AI-based program forecasts a career path of footballers. These and other events in the AI sphere are given in the digest.

About 40% of European AI startups do not use AI

As investigated by MMC Ventures, 40% of European-based AI startups actually do not use the technology in their work.

The experts surveyed 2830 companies claimed themselves as AI-powered start-ups in 13 European countries. Almost half of them have not introduced AI-embedded technologies.

However, it’s not always a team to blame for such uncertainties: third-party sources frequently misidentify startups.

Viber changes its chatbot policy

As previously reported, Viber messenger would introduce monetization for chatbots starting from April 1, 2019. Developers of chatbots were expected to pay $4500 per month for 500 000 messages. However, Viber Media company clarified the details of the new policy and rejected any payment for chatbots.

The messenger’s developers said that the changes would be brought to a range of advertising options that allow a brand to establish a contact with the audience.

The messenger has created an ad strategy taking into account confidentiality and data protection. The content with such elements is subject to additional payment.

AI-powered cancer detecting program is developed in Ukraine

Ukrainian oncologists and IT experts have presented an AI-powered program based on international cancer diagnostics guidelines. The application would reduce the quantity of medical errors.

The program analyses patient’s data, detects diagnostics errors, and notifies when it’s time to see a doctor. AI also shows the medical tests to undergo to make the right diagnosis.

AI diagnoses childhood diseases

The scientists at the Hong Kong University of Science and Technology have developed an AI-enabled program capable of frequent childhood diseases diagnostics.

Program testing took 18 months. 600 000 medical records of the patients from Guangzhou were fed to it. The neural network processed the data, produced clinical resolutions and compared them to diagnoses made by experienced and beginning doctors.

AI appeared to be more precise than junior paediatricians but as effective as experienced doctors.

AIforecasts a football career

Former footballer of Dynamo Kyiv Vladyslav Vashchuk creates AI that analyzes the prospects of beginning footballers and their career path.

The program investigates player’s medical parameters as well as videos with their performance on the football field. Based on this data, AI assesses footballer’s abilities and gives training recommendations.

AI can as well forecast possible traumas, game results, achievements, and career success.


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