Prioritizing development of AI in workflow is biggest challenge for IT shops in 2018

The most common uses for artificial intelligence in healthcare today are for search, classification and reasoning, in that order. "AI is able to ingest massive amounts of data using technology such as text analytics and Natural Language Processing," said Ajay Royyuru, vice president, healthcare and life sciences research, at IBM Watson Health. "With that, AI systems are able to detect patterns and similarities within that data that may unlock new insights for clinicians and scientists. A system that can reason not only can identify, but make recommendations or suggestions based on its trained parameters." Experts in the field currently working on AI projects at their organizations point to a couple that will require the brainpower of human beings to overcome.