question remaining is how to do so . “ AI is going to affect 25 % of technology spend going forward . The key topic is how organisations and the human workforce will cope with the changes that AI technologies will bring .” challenges involved , especially from a regulation perspective . “ The FDA ( US Food and Drug Administration ) will need to find efficient and streamlined methodologies to vet and approve algorithms that will be used to screen , detect and diagnose disease .”
Artificial intelligence from the lab to the bedside In the healthcare industry , AI is set to have a more direct impact on the patient . Safwan Halabi is the Medical Director of Radiology Informatics at Stanford Children ’ s Health , Lucile Packard Children ’ s Hospital . He sees AI developing from the research lab right to the patient ’ s bedside . Halabi explains : “ AI in imaging is reaching the peak of the ‘ hype curve ,’ and we will begin to see AI-enabled tools translate from the research lab to the radiologist workstation and ultimately the patient bedside . The not so glamorous use cases ( for example , workflow tools , quality / safety , patient triage , etc .) for AI evaluation and implementation will start grabbing the attention of developers , insurance companies , healthcare organisations and institutions .”
However , Halabi is aware of the
Smarter personal assistants Already we are using personal assistants with some level of artificial intelligence to help us with daily tasks , and Alejandro Troccoli , Senior Research Scientist at NVIDIA feels these tools will only become more prevalent and developed . “ Personal assistant AIs will keep getting smarter ,” he says . “ As our personal assistants learn more about our daily routines , I can imagine the day I need not to worry about preparing dinner . My AI knows what I like , what I have in my pantry , which days of the week I like to cook at home , and makes sure that when I get back from work all my groceries are waiting at my doorstep , ready for me to prepare that delicious meal I had been craving .”
Less reliance on cards Biometrics could also see credit cards
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