2022 BRN Discussion, page-60

Hi Vic
Have a very close relative with issues around cortisol production so understand your situation better than most so I certainly hope someone can assist sooner than later.

I was thinking about reading x-rays and other scans which is off the subject sort of but early detection of tumors of the adrenal gland can lead to very successful surgical intervention and maintenance of normal cortisol levels. Anyway I thought I would have a look at what has been happening in the area of reading x-rays and other scans using Ai. Well of course using the term Ai is disingenuous because as Anil Mankar and Peter van der Made state what IBM and others claim as Ai is not artificial intelligence as the following short video presentation makes clear it is simply deep training:



The bottom line for current Ai x-ray and scan readers is they are only as good as the training they are given. In other words if you have something growing in your lungs that is unusual or they have not been trained to pick up then good luck to you as you better hope your Doctor or Specialist takes a good look before dismissing you as a nut job.

Now it seems to me that what you need sitting along side everyone of these Ai x-ray and scan readers is an intelligent device that can detect unseen (read this as untrained) abnormalities in your lungs etc; This intelligent device would have been trained with an image/s of a healthy lung and instructed to flag any image that has an abnormality.

So your Ai x-ray and scan reader is picking up what it is trained to recognise and the intelligent device is flagging that there is an abnormality. If the Ai x-ray and scan reader is saying all clear but the intelligent device is flagging abnormality the x-ray or scan is passed on to the radiologist for review.

This now starts to resemble how the human intelligence system has been reading x-rays and scans since day one. The radiographer will tag abnormalities and the skilled radiologist will identifiy the abnormality or anything else missed by the radiographer and recommend the patient be seen by an appropriate specialist to consider how this abnormality should be dealt with by observation or intervention.

Of course AKIDA technology just happens to have this form of intelligence and one shot and incremental learning and can identify previously unseen patterns or abnormalities and with feedback from the radiologist continuously update the data base making it better and better as each x-ray or scan is undertaken.

Imagine if Brainchip can sell this use of AKIDA technology world wide they will not displace the existing CNN systems of IBM and others but augment it and make it more accurate and useful.

My opinion only DYOR
FF

AKIDA BALLISTA