The Work Required to Have an Opinion

You'll only get filtered opinion here! Jokes apart, it is important to be "well-informed". How much? No idea. But keep on reading. While we all hold an opinion on almost everything, how many of us do the work required to have an opinion? The work is the hard part, that’s why people avoid it. You … Continue reading The Work Required to Have an Opinion →

#AI #ML in healthcare: Will the twain ever meet?

Incorporating the Artificial Intelligence in healthcare has several issues. I stumbled on an excellent post in HBR that lists the key deficiency of AI- it is a black box. For all its deficiencies, AI and machine learning will never explain a process of "inclusion and exclusion" or why it came to a decision the way … Continue reading #AI #ML in healthcare: Will the twain ever meet? →

Why all randomised controlled trials produce biased results?

I love this paper. For once, that RCT's are NOT the definitive proof of why this works because we tend to ignore countless variables. Click on the link to read more (luckily its free). I'd be referencing this post later as I discuss incorporating the "digital oncology" This is the first study to examine that … Continue reading Why all randomised controlled trials produce biased results? →

Integrating the #Science of How We #Learn into #Education #Technology

This is an interesting paper coming out from HBR about the "science of learning". The conflict of interest isn't mentioned here so I am assuming it is likely to a "plant". However, I am not missing the woods for the trees. This also has implications in medical training where emulation is encouraged rather than thinking. … Continue reading Integrating the #Science of How We #Learn into #Education #Technology →