Artificial intelligence is no longer a promise of the future: it's making a real difference today in a number of markets. So it's not really a stretch to imagine that if will have an impact in life sciences. But where, how and to what extent?
In other industries smart searches that adapt to user preferences, automated personal assistants like Alexa and Siri, and customer care channels such as web chat, are already exploiting AI in everyday situations. Via machine learning these applications become faster and more accurate over time, adapting to the results they find. All of which helps accelerate and hone decision-making.
The scope for process automation is one of the big attractions. As long as humans check the results, why not let IT systems take the load off heavy-duty information processing tasks? They can process masses of data without tiring or missing anything, and can spot the subtlest patterns - at a level humans could never match. Very recently, researches in Oxford announced AI technology capable of diagnosing heart disease and lung cancer at a much earlier stage, from analysis of patient scans. Meanwhile continuous patient monitoring is becoming a serious strategy for upholding patient wellbeing instead of passively waiting to fix people. All of which should lead to better patient outcomes.