Twitter in academia: Does Tweeting Improve Citations? One-Year Results from the TSSMN Prospective Randomized Trial

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 … Continue reading Twitter in academia: Does Tweeting Improve Citations? One-Year Results from the TSSMN Prospective Randomized Trial →

JC Discussion: SRS versus WBRT in SCLC.

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. [embeddoc url="https://radoncnotescom.files.wordpress.com/2022/01/60a20-srs-sclc-summary.docx" viewer="microsoft"]

AI healthcare: Key challenges

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 … Continue reading AI healthcare: Key challenges →

Twitter as an echo chamber

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 … Continue reading Twitter as an echo chamber →