EDUCATING AI TO THE NORM
Just a few links about Machine and Deep Learning
What is ‘Machine Learning’?
We all hear about it, but do we understand it??
Maybe this article from 2017 by Vishal Maini, that was published on ‘Medium’, can help provide some answers for you. Following that is a link to a ‘definition’ of Machine Learning via Expert System
Machine Learning for Humans
Simple, plain-English explanations accompanied by math, code, and real-world examples.
Vishal Maini | Medium | Aug 19, 2017
Link to a ‘definition’ of Machine Learning via Expert System
Expert system work with many industries, but my concentration is on their ‘Life-sciences and Pharma‘ section and you can access everything about them via the link below
Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.
What is Deep-Learning? Bernard Marr explains it…
The following article is great for learning about what deep learning is.
What Is Deep Learning AI? A Simple Guide With 8 Practical Examples | Bernard Marr – Contributor Forbes
Oct 1, 2018, 12:16am
AI in radiology and cardiology, however, speak for themselves. There is a clear purpose as to what AI can do, and is likely to do, including for the development of diagnostic tools and precision medicine, equipment/gadgets that can help keep you alive for instance, predict a heart event and send a message to your cardiology team and essentially save your life. It is not just about heart & health monitors and x-rays. People need to know how it is changing and unless they become ill and need the services of radiology / cardiology they’re not likely to find out.
One of the things to think about if you’re in the business of AI in medicine is the fact that many people, the general Jo(e)’s, don’t realise quite how much AI is actually playing a role in medicine. Virtual reality and augmentation are familiar to those who play video games, but for those who don’t it is pure gibberish to them.
For an easy example, health Apps – An App is just an App! How an App works regarding the mechanics, and technology, of it etc, is of no interest to them as long as it compiles their information in the ways that they want it to. It only becomes essential to learn when they begin to use the more complex aspects of said Apps and to be honest most general Jo(e)’s would most likely give up at that point.
Plus, I speak to many people that don’t like using mobile Apps, or like the idea of their data being shared, and / or stored, in the ways that technology can do these days. These kind of conversations are relatively easy to find across social media channels and within community groups.
As a patient leader and advocate, a ‘chronic illness‘ social network owner and patient voice, one of my roles is to convince people that AI is the way forward, the way it ‘currently‘ looks what do you think? will it be an easy task??
Personally speaking, I candidly expressed my own dislike to mobile Apps on stage during a panel discussion at the eyeforpharma Barcelona 2019 conference, on 12th March, because there are just too many for me to keep up with. One multi-purpose App that covers all illnesses would be more appropriate. Many of us with multiple conditions all row in the same boat with respect to this issue. For me, breaking the silo’s and working towards a holistic view of my multiple conditions would be more appropriate, less time-consuming as a consumer, and produce a more accurate reflection of what is actually going on.
Why do I talk about Apps? well because as patients it is what is commonly being used by companies to collect the data from us that they need for the purposes of developing their AI products. Plus, Apps are pretty much the only form of AI in healthcare that ‘most’ patient’s are aware of, familiar of… and use.
Anyways, I digressed a little… Virtual reality and Augmentation are two things which heavily influence the radiology, and cardiology industries, and the best way to learn about the impact they have is to attend the webinars, and events, to hear talks and discussions regarding how they are influencing the world of medicine. watch presentations and observe how things work. I would prefer to be more up close and personally involved of course!
However, I’m not a medical professional, or a scientist, so getting access to learn about these things can be a little complex. Fortunately, due to the work that I do regarding health comminications, and working with ‘all-stakeholders‘, I often get the rare opportunity to emerge myself in webinars and online event streaming, and with great thanks to the ‘AI Med’ team I will get the chance to report, from Chicago, the ‘AI Med Radiology‘ and ‘AI Med Cardiology‘ via the ‘LiveStream’ links from my own front room in the UK, 18-19th June 2019. A chance to share, and hopefully translate into ‘lay-language’, what is happening with Radiology, and Cardiology, and how they are implementing AI to create better outcomes for the patient, help to better develop diagnostic tools and machines, help with more precise research data, precision / personalised medicine and even robotics.