In addition to the great info Melua and Lilypily have provided, I will summarise why I like the deal
1: time for diagnosis and implementation
2: cost to implement
Zero upfront cost for hospitals. Implementation time 2-3 hours. This is where other ehealth software systems have struggled as selling their goods requires you to rip out old systems and infra- resulting in large costs and time frames.
Nico AI being cloud based fits right into the existing diagnosis process flow. All Nico needs to do to set the ball rolling is to provide access to their platform from the diagnosis terminals where the scans come through.
Current manual process from scan to EVT( recommended surgery for saving stroke patients is few hours in Australia with majority of the time spent on availability of imaging systems, availability of radiologists to interpret the data and transit to operating room.
Nico can cut that down since it takes only 3 mins to diagnose the condition and appropriate treatment can be undertaken. Quicker treatment means recovery time is less and means lower days of occupancy and post op care costs .
3: data for AI - accuracy
The Nico AI is “ deep learning” meaning it learns from each interaction. Since the platform has access to Bayer , AMC ( hospital ) , additional 15 hospitals coming onboard , trial work in US and more importantly access to one of biggest stroke trails in the work aka ‘Mr Clean’ . https://www.mrclean-trial.org/mr-clean-registry/introduction.html
This will ensure that platform will have high range of accuracy across multiple regions, medicinal conditions and imaging machine idiosyncrasies due to model/make. Nico AI is 90% accurate compared to human diagnosis of around 67%.
