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AI in Medicine & AI Med events – Radiology / Cardiology ‘Sponsored by FibroFlutters’
Contents
- 1 > Who are AI Med?
- Why is ‘AI’ so important to the medical healthcare industry?
#patient perspective! - Learn about – PAL: A wearable platform for real-time personalized and context-aware health and cognition support.
- What inspired me to get more closely involved with AI Med?
- Why is ‘AI’ so important to the medical healthcare industry?
- 2 > EDUCATING AI TO THE NORM
- Just a few links about Machine and Deep Learning
- Machine Learning for Humans | Vishal Maini | Medium | Aug 19, 2017
- Link to a ‘definition’ of Machine Learning via Expert System
- What Is Deep Learning AI? A Simple Guide With 8 Practical Examples | Bernard Marr – Contributor Forbes
Oct 1, 2018, 12:16am
- Just a few links about Machine and Deep Learning
- 3 > AI Med EVENTS sponsored by Carole Scrafton & FibroFlutters
- Radiology | June 18th and 19th | Ritz-Carlton, Chicago
- Register for the event
- LIVE STREAM LINK
- AI Med Cardiology | June 17th and 18th | Ritz-Carlton, Chicago
- Register for the event
- LIVE STREAM LINK
- AI Med newsletters
- Radiology | June 18th and 19th | Ritz-Carlton, Chicago
- 4 > FibroFlutters
- Privacy policy, disclaimers, social links and other appropriate / useful links to places we are connected to, or associated with.
Disclosure
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. Founder AIMed Chang is Chief Artificial Intelligence Officer, Children’s Hospital of Orange County (CHOC)
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.
As an active clinician with a ‘data science‘ & ‘artificial intelligence‘ background, Chang saw the great potential that AI could have. In 2013 Chang initiated a series of meetings that examined the benefits, and limitations, of AI ‘for‘ medicine. “These meetings, called AI in Medicine (AIMed), have been successful since then in creating a ‘friendly‘ and ‘collaborative‘ gathering of minds as well as an ‘intellectually stimulating’ opportunity to learn about AI in medicine and healthcare.” Chang expresses that there are many clinicians of all subspecialties that attend the AIMed meetings but the meetings also attract other stakeholders from within the industry such as data scientists, startup companies, hospital administrators, and investors.
Read more via the link below
AIMed Portfolio provides year-round education & networking opportunities for clinicians, solution-providers & thought-leaders alike through a series of international events, magazine & online-content.
Why is ‘AI’ so important to the medical healthcare industry?
#patient perspective!
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!
However, it isn’t just the chronically sick that will benefit from these technological, digital and AI advancements within medicine. Naturally, scanners etc are used for all kinds of medical diagnostics, for non-serious things. I write with reference to the chronically sick because that is where FibroFlutters reside regarding medical therapeutics and support, being a patient support, advice and advocacy group for chronic, invisible and rare illness.
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 the PAL 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.
EXCERPT:
“We believe that effective and holistic health and cognition support requires combining data-driven medicine, mobile psychology, and enhanced cognition to provide real-time, context-aware and personalized support to users,”
PAL: A WEARABLE SYSTEM FOR CONTEXT-AWARE HEALTH AND COGNITION SUPPORT | BY INGRID FADELLI , TECH XPLORE
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?
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.
WHAT INSPIRED ME TO GET MORE CLOSELY INVOLVED WITH AI MED? | CHRONICILLNESSVOICE | PHARMA / SCIENCE / TECH / DIGITAL / AI | A MIX OF NEWS, EVENTS AND RESOURCES | PAGE 3 AI MED
What inspired me to get more closely involved with AI Med?
As a patient I also have a keen interest in how technology is changing and the effect of AI processes on things such as medical imaging, diagnostic imaging, and robotic assisted surgeries for instance that are something for patients, and carers, to also learn about #notjustprofessionals #notjustpatients. With that in mind I began to pay more attention to this area within the medical and healthcare industries, especially considering FibroFlutters has many readers with ‘musculoskeletal’, connective tissue disorders, neuro related issues, cancers etc, and heart and lung related chronic conditions that all mean we have a lot of scans and x-rays. Common sense to learn how things are improving!
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.
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