The tech world is obsessed with digital nomads. This is a little more difficult to achieve in healthcare. But still, there are options.
We can often read and hear AI will have the greatest impact on radiology. That radiologists will even be replaced with AI. These were my thoughts exactly, until I dug a little deeper with this article.
Google recently introduced a healthcare dashboard for better data visualisation. Apple is researching hearing loss. Litmaps is wonderful for researchers and medical education might change.
The other day I was browsing what to watch on Netflix and had a thought. I think Netflix might become a new digital channel for “conveying” health.
Decision support systems have been around for a long time. But not coupled with AI. A team of researchers is proposing guidelines to make DSS with AI better.
It seems like we’re collecting and analysing data on every step of our way. The biggest opportunity for public health screening programs lies in wide-spread data collection and analysis.
It’s about one year since the SARS-CoV-2 was first identified. And I know we’ve been reading and hearing about it from all perspectives. Even on several occasions in my newsletters. There’s been a lot of hype in those issues. Now it’s time to sober up a bit!
Medical school teaches us there are in vitro and in vivo clinical trials. But the trend is going towards in silico - trials without human patients.
Coding doesn't appear to have a lot in common with medicine. But the pandemic is showing us how valuable this knowledge is. This issue attempts to look at why coding is so beneficial for medical students and doctors.
Healthcare, just as the industry, went through developmental phases that ultimately brought it to where it is today. What was once considered technology is today considered common practice.