There's a growing number of patients with tuberculosis and the number of radiologists for its diagnosis isn't following. We will soon need AI for triaging and screening, especially in countries with lower socio-economic status.
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Blood testing is arguably the centrepiece of diagnostics in medicine. But a few years ago a scandal shook up the field, which still has consequences. The challenge now is to get over it but work towards its idea.
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Diabetes is quickly becoming an epidemic. If we don't act preventively the burden on healthcare will be too big. One of the solutions is to use digital technology in managing it.
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Big tech started entering healthcare as the companies realised it presents an opportunity for new products and profit. But one of the threats may be their monopolies.
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The tech world is obsessed with digital nomads. This is a little more difficult to achieve in healthcare. But still, there are options.
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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.
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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.
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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.
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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.
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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.
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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!
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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.
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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.
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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.
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Scientists were trying to solve this one problem for 50 years. And we have the privilege to live in an era in which it was solved. Scientists can now computationally determine the 3D structures of proteins.
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