Hi everyone, thanks for all the news I am lagging badly in that...

Hi everyone, thanks for all the news
I am lagging badly in that department and still trying to get my head around who is who in terms of both people and companies.

Biorithm was one of the groups taken on the US tour to be showcased, so it is interesting there is now a feeling it might not be collaborating any further...
On December 3 after @Jsid85 posted this [41773021], the discussion seemed to be that it was collaborating, although given the ‘master the dance’ comment in @Eloi75 ’s post this morning 42062683 vs the CEO’s comment in the one earlier this month, that ‘defining collaboration with a big corporation isn’t easy, like dancing with the proverbial 1,000 pound gorilla’, I agree there may be more work in front of biorithm.
(As an aside it definitely IS working with Monash University https://lens.monash.edu/@medicine-health/2019/10/16/1377240/pregnancy-monitoring-from-home-a-world-first-device-being-trialled-globally?)


As a reminder The other teams selected for that tour were;
Apprentice Health, Caretaker Medical, Biobeat, Painchek, Creavo, Vixiar, Xandar Kardian, and Droice Labs
@Eddard.Stark ’s post of 14/11/19 has a run down on all but Droice Labs for anyone else curious [41416747]


So as to contribute something more than trying to get my bearings via looking out if side windows here’s a story on AI trends for next year featuring comment from Philips from early this week;



Maybe there’s a snippet that could be pointing at a Painchek alliance?*
Cheers


*..“There is tremendous waste in many healthcare systems related to complex administration processes, lack of preventative care, and over- and under-diagnosis and treatment. These are areas where AI could really start to make a difference...”

https://thenextweb.com/artificial-i...ggest-ai-trends-of-2020-according-to-experts/
8 biggest AI trends of 2020, according to experts
by BEN DICKSON — 2 days ago in ARTIFICIAL INTELLIGENCE



Artificial intelligence is one of the fastest moving and least predictable industries. Just think about all the things that were inconceivable a few years back: deepfakes, AI-powered machine translation, bots that can master the most complicated games, etc.

But it never hurts to try our chances at predicting the future of AI. We asked scientists and AI thought leaders about what they think will happen in the AI space in the year to come. Here’s what you need to know.

AI will make healthcare more accurate and less costly
As Jeroen Tas, Philips’ Chief Innovation & Strategy Officer, told TNW: “AI’s main impact in 2020 will be transforming healthcare workflows to the benefit of patients and healthcare professionals alike, while at the same time reducing costs. Its ability to acquire data in real-time from multiple hospital information flows – electronic health records, emergency department admissions, equipment utilization, staffing levels etc. – and to interpret and analyze it in meaningful ways will enable a wide range of efficiency and care enhancing capabilities.”

This will come in the form of optimized scheduling, automated reporting, and automatic initialization of equipment settings, Tas explained, which will be customized “to an individual clinician’s way of working and an individual patient’s condition – features that improve the patient and staff experience, result in better outcomes, and contribute to lower costs.”

“There is tremendous waste in many healthcare systems related to complex administration processes, lack of preventative care, and over- and under-diagnosis and treatment. These are areas where AI could really start to make a difference,” Tas told TNW. “Further out, one of the most promising applications of AI will be in the area of ‘Command Centers’ which will optimize patient flow and resource allocation.”

Philips is a key player in the development of necessary AI-enabled apps seamlessly being integrated into existing healthcare workflows. Currently, one in every two researchers at Philips worldwide work with data science and AI, pioneering new ways to apply this tech to revolutionizing healthcare.

For example, Tas explained how combining AI with expert clinical and domain knowledge will begin to speed up routine and simple yes/no diagnoses – not replacing clinicians, but freeing up more time for them to focus on the difficult, often complex, decisions surrounding an individual patient’s care: “AI-enabled systems will track, predict, and support the allocation of patient acuity and availability of medical staff, ICU beds, operating rooms, and diagnostic and therapeutic equipment.”.....

Etc