Bets in AI - Computer Vision

Despite the sometimes exaggerated expectations of the potential applications of AI in everyday life and work in the past 10 years, there are a few elements within the domain that continue to show promise with advances made by researchers and industry fairly regularly. One of those is Computer Vision (CV), which is fundamental to a number of technologies with practical uses, like Augmented Reality. As with applications of other areas of AI, the most practical here is decision support.

Below is a great article on the team and vision at Paige, which is using CV for medical imaging purposes:

https://venturebeat.com/2019/12/18/paige-raises-45-million-to-detect-cancer-with-computer-vision/

Crowdsourcing in HealthTech

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.