Obex Technologies: Difference between revisions
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Contact: Michael Gifford <m.j.gifford@mountainhare.com> | Contact: Michael Gifford <m.j.gifford@mountainhare.com> | ||
I am very keen to submit a project for next year and I already have some ideas that I think would work well within the context of the project space. | |||
Alan's suggestion: | |||
Machine Learning to Brain Surgery | |||
Your client has worked with surgeons at Addenbrookes to create a national database of brain surgery, recording every “cerebral shunt” operation in the country. Straightforward unsupervised machine learning methods could be used to cluster the records in this database, and advise trainees or even experienced surgeons in the operating theatre. Your goal is to make a tablet or mobile app that could be deployed in an operating theatre, presenting intelligent advice about the current patient as decisions are taken - is this surgery likely to be typical for this surgeon, or this hospital, or have unusual factors been detected? Your solution must be secure as well as smart, because NHS patient data is carefully protected. | |||
Suggestion from 2016 that did not proceed: | |||
[[Pocket Brain Surgeon]] | [[Pocket Brain Surgeon]] | ||
Latest revision as of 07:20, 26 October 2016
Contact: Michael Gifford <m.j.gifford@mountainhare.com>
I am very keen to submit a project for next year and I already have some ideas that I think would work well within the context of the project space.
Alan's suggestion:
Machine Learning to Brain Surgery
Your client has worked with surgeons at Addenbrookes to create a national database of brain surgery, recording every “cerebral shunt” operation in the country. Straightforward unsupervised machine learning methods could be used to cluster the records in this database, and advise trainees or even experienced surgeons in the operating theatre. Your goal is to make a tablet or mobile app that could be deployed in an operating theatre, presenting intelligent advice about the current patient as decisions are taken - is this surgery likely to be typical for this surgeon, or this hospital, or have unusual factors been detected? Your solution must be secure as well as smart, because NHS patient data is carefully protected.
Suggestion from 2016 that did not proceed:
