Research, page-587

I have mentioned before it should not be that difficult to read an VX scan but this aside not sure if it is part of the software or planned for the future but a significant amount of AI could be built in, which produces a suggested diagnosis.

For example after 1,000 scans then 10,000 scans then 100,000 scans have been done the database will be much richer in information and data. All we need to do is have each scan be updated with the end diagnosis by the specialists or radiologist or whoever it may be. So even if we start with our scan and it warrants a CT scan and it was cancer in the end, that gets logged. After a tremendous amount of scans the system can then run a scan and say based on previous similar scans:
1. 73% likelihood of partially collapsed lung
2. 26% likelihood of chest infection
3. 1% chance of cancer, growth, hernia or obstruction

It could be forming based on airflow and detail at a level even human eyes may not see.

As more and more scans are done the accuracy should rise dramatically. Obviously this comes with disclaimers only a guide based on last historical results but it could help medicos dramatically. And let’s be honest there are also some hack medicos out there who have minimal idea so in some cases I’d be trusting the AI and historical data more myself.