How To Understand The A.I. Revolution Better In Studies And News?

Artificial intelligence is the hottest topic at the moment in both technology and medicine. Hardly a day goes by without promising research papers and studies being published on how to apply machine and deep learning methods to medical problems. However, as already the mention of A.I. makes companies’ prospects better on any market, hyping and overmarketing what an algorithm can do is an everyday phenomenon. Thus, it is not an easy task to separate the wheat from the chaff. That’s why we decided to offer here a short guide on how to evaluate research papers on A.I. How to read an A.I. research paper? As a first step, you should go to the source. It’s not scientific elitism but it matters where the paper about an artificial intelligence-powered solution was published. It makes a difference if the algorithm gets presented in Nature Medicine or in a third-level journal. The second most important factor is the data. You should look for where the data stems from, thus you’d better look up the ‘Methods’ section where they describe how, where, what kind of data the authors received. No algorithm can be trained without a good amount of quality data. Moreover, the size of the dataset also matters: the more images, text or any other source material the researchers have, the more precise the algorithms become. However, it is very difficult to get to a large amount of quality data, especially in medicine. Hospitals and other medical facilities, which have been accumu...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: Artificial Intelligence in Medicine Social media in Healthcare AI algorithm deep learning development future machine learning method news research smart smart algorithm study technology Source Type: blogs