Featured EVENTS > AI Med ‘Sponsored by FibroFlutters’:
FibroFlutters will be sharing and promoting the upcoming AI Med radiology & AI Med Cardiology events and the relevant livestream links for both events across FibroFlutter’s social media channels.
FibroFlutters will also cover the livestreams via their social media channels.
I am proud to announce that in exchange for this we have been made an official media partner for AI Med Radiology / Cardiology and also offered tickets to a future event.
Who are AI Med?
AI Med are a clinician led community exploring how AI can be used in Medicine and was founded in 2014 by Dr Anthony Chang.
Chang is a practising pediatric cardiologist, CIIO at CHOC children’s and world-renowned expert on artificial intelligence (AI) who has an aim to bring together clinicians, physicians, c-suite executives and technology experts so they can start a revolution in today’s Medicine and Healthcare for a data-smart tomorrow.
Read more via the link below
Why is ‘AI’ so important to the medical healthcare industry?
Everyone will have their own answer to this question because we all have differing needs in life, especially when it comes to being someone with rare and/or other chronicillness(es). It really does depend on what type of illness it is?, or what area of the body is affected, and how? What sort of testing you require, are you a ‘repeat-patient’, someone who is frequently being x-rayed and scanned?
Do you have heart problems, and is there a genetic link? Cancers such as ‘Neuro-Endocrine‘ or ‘Brain’ cancer, neuro disorders or, genetics? Lupus, Musculoskeletal and connective tissue disorders requiring umpteen years of testing and diagnosing. Conditions like ‘Ehler’s-Danlos Syndrome‘, ‘MS‘, ‘Lupus‘, ‘Lyme Disease‘, or ‘Fibromyalgia‘ just for a few ‘popular’ examples where multiple conditions are involved along with multi-morbidities, and where medicines often clash, or we have sensitivities to medication ingredients. Bones, joints and muscles are frequently ‘x-rayed’, ‘MRI’d, or scanned, but results show nothing and is something we’ve endured for most of our lives so the thought of such clear precise imaging is quite enticing!
Wouldn’t it all be easier with clearer imaging created by AI technologies, and algorithms, and not to mention for AI robotics for surgical procedures performing delicate precision ‘cardiac’ surgeries that are guided and performed by the cardiologist, (and other surgeons for other therapeutic areas). Overall, AI is essential to the development of personalised healthcare where medicines and treatments become more ‘precise’ giving the ‘patient’ a better level of treatment for their illnesses. Breaking down the silo’s and looking at the whole picture is becoming possible with AI technology.
The link below takes you to an article that discusses a system that uses AI and one which when considering the future of Healthcare could soon become the norm, own opinion of course! Wearables are fast becoming the norm, so the technology precedes it, obviously!! How does the technology work? Do patients know how it works?? Who’s job is it to educate them about AI in healthcare and what these health gadgets stand for, what their purposes are??? All very valuable questions to ask, as a patient leader who does get asked the odd question about such things. How can I answer them? Where do I look for the answers?? When I find the answers but they’re written in a language of ‘jargons‘ only ‘cling-ons‘ understand who do I ask to explain it???
What strikes me as the most interesting component of the PAL wearable system is the ‘holistic’ approach to data that it takes as a means to get a grasp of the person’s health in a ‘holistic’ manner, which if you know me, or are familiar with my rantings, will know how important this issue is to me, and also patient communities from around the ‘World of the Chronically Sick’, because multiple conditions are what we fight every day. How these conditions work along-side each other is different for each of us, we are not identical just because we share diseases, symptoms, or multi-morbidities.
Having a gadget such as ‘PAL’ that can measure in such a way could be the health news that will break our silo’s. You can’t just treat the symptoms, you must look more closely at how drugs interact, how illnesses change on those drugs, what molecular changes happen, blood and heart rates, behaviours & mental state. Do new side-effects come to the surface? What really changes and how will these changes be spotted and analysed, who decides what these things mean? How can diagnostics be sure of what they think, or see within results if they are relying on wearable data, I mean just because technology collects it doesn’t really mean that it is correct,… does it!? Putting that thought to one side I personally embrace the move towards personalised medicines and this system brings it closer to being a reality.
More information: PAL: A wearable platform for real-time personalized and context-aware health and cognition support. arXiv:1905.01352 [cs.HC]. arxiv.org/abs/1905.01352
Putting yourself in the mind of a person like me, and millions of others across the Globe, I hope that my message here is clear, we need to be better educated about the work that you do. All the questions posed here are legitimate and ones you are likely to encounter. Are you ready to answer them, and, how will you answer them?
What inspired me to get more closely involved with AI Med?
A few months ago I attended an AI MEd Radiology string of webinars with the sole intention of becoming a bit more educated about how AI is making an impact on this area of the medical industries. After all I am reknowned for being a Patient Expert for Fibromyalgia and Musculoskeletal Disorders having been born with many congenital bone deformities that have made a huge impact on my life. In total I have approx 24 different Musculoskeletal anomylies including Pes Cavus at birth, Scoliosis diagnosed aged 13, the rare 6th vertabrae and Spina Bifida Occulta that I was diagnosed with at 19 years old and then with ‘Genetic’ Benign Joint Hypermobility Syndrome / EDS at the age of 39. Aside from that I was also told in my early twenties that my knees were the wrong shape and as a result would never be able to get knee replacements… With the development of 3D printing in recent years I would like to think that I may now have that chance!
What is super strange on a personal level is the fact that not once has my spine been MRI’d, and not for the want of trying by my GP. Like most people born with rather specific things and who have lived life with one diagnosis after another I am completely curious as to how this new-age of AI technology within radiology could possibly help me progress with better treatment options.
To be honest, my need to learn about what ‘AI’ was kept growing, plus, it slowly became a genre of the pharma landscape that was clearly becoming essential to learn about.
So! I am currently educating myself about AI in Medicine with a view to sharing my newly learned knowledge out to other people just like me.
Cardiology is an area of medicine that many of us are aware of and use, whether it is personally, or through a parent, grandparent or other family member. Then ask ourselves how many times are we sent to radiology for x-rays and scans? The future of imaging is exciting as the images become much clearer and easier to read, hence making diagnosing from such imaging easier. Machines that can read and translate data that is a lot more precise than of days gone past when as patients the line we were all stating was ‘x-ray’, or ‘scan’ showed up nothing again, and they won’t send you for an MRI unless the x-ray flags something up, maybe the future within radiology will put an end to this. However, how? is something we need to learn, be educated about, I mean what exactly are deep and machine learning processes?
On another note!
When you consider the kinds of things that we use as patients, AI is beginning to play a much larger role for our healthcare as technology just keeps advancing. However, everyday folk, or lay people, don’t know what deep learning, or machine learning, are because as a rule, why do they need to know about it?! All they care about is getting diagnosed more quickly than they do and dream about the day when more appropriate medicines exist for the illnesses that they live with. Of course the developments of technology regarding radiology machines will be a great bonus for the world of rare and chronic illnesses.
AI in medicine isn’t something that ever really comes up in group discussion. We do talk about the future of medicines, and precision medicine, medical gadgets and mobile Apps for monitoring healthcare and illnesses, but not in the same ways that you hear within the walls of pharma, yet again this is because we don’t talk ‘pharma’, we talk ‘patient’.
When within the pharma environment such as at conferences you aren’t really getting the ‘real‘ perspective of what patients think, just a ‘fishbowl‘ view given by a handful of patient advocates speaking on behalf of millions of others. This is why collaboraton, co-creation and patient engagement are necessary, to educate as well as retrieve information that you can use as a company to improve your products.
Also, when you look at things more closely you will soon realise that it is down to people like myself, and many other ‘non-professional‘ peers, to try and translate back to our communities the ‘benefits‘ of things such as… AI in medicine!
What is AI?
Why is it so important?
What kinds of things is it used for?
and why data resourcing is so important for determining a precision medicine process?, even for the development of new medicines.
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
A 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.
AI Med Radiology
June 18th and 19th
HOW IS RADIOLOGY BEING IMPLEMENTED?
AI Med Radiology 2019 is for those interested to see the use of AI and deep learning in advanced imaging,
experience future of radiology using augmented and virtual reality, understand the future of medical education and training with AI
and learn about precision medicine.
This event will bring together Radiologist’s, hospital leaders, data scientists and technology experts to explore the use of AI and deep learning in advanced radiology imaging and to understand, how AI can be used as a preventative tool in supporting the medical diagnostics industry.
The following button link leads you to the event registration page where you can also see a list of who is speaking.
AI Med Cardiology
June 17th and 18th
AIMed Cardiology aims to explore the use of AI and deep learning in advanced cardiac imaging, give the attendees the opportunity to experience future of cardiology and cardiac surgery using augmented and virtual reality.
The hope is that this will facilitate an understanding of the future of medical education, training with AI and Learn about precision cardiovascular medicine.
This event will bring together Cardiologist’s, hospital leaders and technology experts to explore the use of AI and deep learning in advanced cardiac imaging and to understand, how AI can be used as a preventative tool in supporting the cardiac care.
The following button link leads you to the event registration page where you can also see a list of who is speaking.
The two events are aimed at those professionals who live within the region, but don’t worry because if you don’t live there the event will be ‘live-streamed’ Globally on the days of the conference. If you do attend via live-streaming I hope you will join in with me tweeting and sharing across social media items of interest.
Keep an eye out for the links to the LIVESTREAMS as we get closer to the events.
I’ll be doing my best to report the best bits via social media, but wouldn’t it be great to watch it for real!?
The latest articles from Anthony Chang’s AI Med Newsletter | Social good & AI | 23 May 2019, 20:36
WHAT IS THE MOST ETHICAL WAY TO TREAT DATA? | Hazel Tang
WILL FEAR TURN ROBOTS INTO BETTER SURGEONS? | Hazel Tang
HAS MODERN RADIOLOGY LOST ITS WAY?| Hazel Tang
AI MAY HELP IN HIGH BLOOD PRESSURE MONITORING| Hazel Tang
Hazel Tang A science writer with data background and an interest in the current affair, culture, and arts; a no-med from an (almost) all-med family. Follow on Twitter.
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