Council Post: AI Challenges For The Health IT Industry: Can We Trust AI Like Humans?

Can we expect complete automation of medical processes in the near future, given the issues that AI systems face even in the most advanced areas of healthcare? I have touched on some of the aspects in my previous article, so now let's talk about more challenges facing the development and implementation of AI in the healthcare industry. The development of intelligent technologies is directly related to the method of creating AI -- or, more precisely, to the peculiarities of its training and processing the received data. The most typical tools, in this case, are neural networks and machine learning algorithms loaded with data from clinical databases and supported with the information about types of diagnostics and care provided. This mandates a good level of interaction between AI and actual databases and simultaneously triggers questions about the amount, versatility and representativeness of the cases included.