Simple Algorithms vs. A.I. And What They Mean For Medicine

Artificial intelligence (A.I.), machine learning (ML) and algorithms; if you are a regular at The Medical Futurist, you’ve come across these terms more than once whether it’s in our articles, videos or e-books. Indeed, our latest e-book about investment in digital health has a dedicated section about A.I. Even The Medical Futurist Institute’s latest peer-reviewed study was published as a guide for medical professionals about the technology. But it’s not just us with a fascination for the sci-fi-esque technology, the healthcare A.I. market is a booming one, as is life science research around the technology. As A.I. becomes quasi-omnipresent in medicine, the hype factor comes into play. With the interest around the technology, companies might throw the term around left and right; claiming their solution uses A.I. when in fact, they only use a spreadsheet with some macros in it. All of these word-plays to entice investors gain more attention and play the marketing game.  As such, it becomes crucial to take a step back and ask oneself when coming across a claim that a tool is A.I.-based whether the technology in question is really A.I.-based – or just a simple algorithm. Knowing where to draw the line between an algorithm and an A.I. will help each and every one of us better address the relevant legal, ethical and social implications; especially when it comes to medicine. We aim to clear the confusion around this significant issue with this ...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: Artificial Intelligence in Medicine AI algorithm data digital health fda study machine learning A.I. Márton Görög data science Center For Molecular Fingerprinting John McCarthy black box Source Type: blogs