Artificial Intelligence

AI is the technology that will likely re-shape healthcare in the coming years. That doesn't mean it's perfect. Here are some potential problems.

Supporters want to implement it as fast as possible, those scared of it want to postpone it as long as possible. But one party is left out of the conversation - the patient.

Artificial intelligence might unleash the real art of medicine. This is how it's boosting medical imaging, diagnosing and procedures to allow healthcare staff to do what they're trained for - caring for patients.

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.

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.

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.

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.

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.

Leveraging technology for battling dementia is a good idea. Especially given that we know next to nothing about how to treat it the old fashioned way. Might as well use tech.

New standards for designing trials that include AI were introduced in top journals. CONSORT-AI and SPIRIT-AI are the start of a new era in clinical trials.

An overview into how we can treat insomnia and how IBM is entering digital health by developing autonomous systems to help doctors be doctors.