I am not a “tremendous fan” of Twitter for its platform where a majority of “users” are bots. It is relatively simple to create one and then push out whatever content has to be done. This study joins the rank of another statistical mumbo jumbo about the impact of Twitter on “research”. Tweeting about it […]
Mercifully, I was able to stumble upon the proposed discussion of the paper. I have the PDF though, I am not embedding it (due to copyright issues). Nevertheless, my summary appears below.
This is an interesting paper (and worth your time) to pursue about the key challenges for AI in healthcare. It gives a decent overview of the landscape. Artificial intelligence (AI) research in healthcare is accelerating rapidly, with potential applications being demonstrated across various domains of medicine. However, there are currently limited examples of such techniques being successfully deployed […]
This is an interesting paper that was posted in Arxiv and I did a quick summary of this to highlight the fact that Twitter is NOT a learning source. There are better ways to go about it. It is a myth that it leads to better learning experience, but individual timelines are variable and difficult […]