Technology That Rocks

Great write-up that takes a more rational stance on the potential wins from broader adoption of AI / machine learning. I’ve been borrowing the term “augmented intelligence” when describing the (hyped up in recent years) acronym of “AI”. The algorithms that sift through large amounts of historical data, and then try to make suggestions on data that’s input to the model by the end-user — are most effective at suggesting the next step / action for the human — rather than replacing people’s decisions entirely. This will be especially evident in healthcare, where doctor / clinician decisions will never be replaced, but rather only augmented by output from systems.

https://blogs.scientificamerican.com/observations/does-ai-have-a-place-in-medicine/

Highly recommended read on the application of deep learning to the dermatology arena, that a research team at Google has pursued. This is what I believe to be the promise next generation of health tech start-ups and emerging companies - where curation can be sourced globally.

https://ai.googleblog.com/2019/09/using-deep-learning-to-inform.html

The interesting bit is that a new Netflix original series, “Diagnosis” has come out about the same time (this month, Sept 2019) and covers specific stories where crowdsourcing has led to positive next steps for patients and their families.

https://www.netflix.com/title/80201543

An area worth exploring further.