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Translating AI into the clinical setting at UC Irvine – AI Med

Ultimately, many of these shortcomings exist because few if any physicians are actively engaged in developing the next generation of technology, AI or otherwise. It is interesting to note the vast majority of medical startup companies are founded with limited if any physician involvement or oversight.Without experts that deeply understand both the medical and technical aspects of the problem, there is currently a significant gap in translating cutting-edge AI technology to healthcare.

Source: Translating AI into the clinical setting at UC Irvine – AI Med

I’m preparing an article on machine learning for clinicians and one of the recommendations I make is that we must ensure that the 21st century healthcare agenda is not driven by venture capital and software engineers. Even though private corporations and government are probably not malevolent, when surveillance and profit are your core concerns it’s unlikely that you’re going to develop something that truly works in the patients’ best interest. We really do need clinicians to be more involved in guiding the progression of AI integration in the clinical context.

See also: AMA passes first policy guidelines on augmented intelligence.

Note: If you’re interested in this topic, I’ve shared the first draft of my introduction to machine learning for clinicians on ResearchGate and would appreciate any feedback you may have.

By Michael Rowe

I'm a lecturer in the Department of Physiotherapy at the University of the Western Cape in Cape Town, South Africa. I'm interested in technology, education and healthcare and look for places where these things meet.