Artificial Intelligence & Machine Learning: Propelling us into Our Future

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The development of full artificial intelligence could spell the end of the human race.

We are at the most dangerous moment in the development of humanity.

 – Stephen Hawking

Increasingly useful applications of AI, with potentially profound positive impacts on our society and economy are likely to emerge between now and 2030.

Stanford AI100

The future is coming faster than you might think.

Daniel Kraft, MD

The Fourth Industrial Revolution (#AI #MachineLearning) … will change not only what we do but also who we are. It will affect our identity and all the issues associated with it: our sense of privacy, our notions of ownership, our consumption patterns, the time we devote to work and leisure, and how we develop our careers, cultivate our skills, meet people, and nurture relationships.

Klaus Schwab, Exec. Chairman, World Economic Forum

I’m sorry Dave, I’m afraid I can’t do that. – HAL 9000

These quotes should give you plenty of food for thought! For healthcare and all sectors of society, few will argue that we aren’t in a time of technological revolution that is accelerating each day. From the warnings of Professor Hawking and Elon Musk to the bright future discussed by Daniel Kraft, we seek to be prepared and part of this important shift. Further, #AI has intrigued, thrilled, and frightened many – as exemplified in ’68 by the fictional HAL 9000 #AI in 2001: A Space Odyssey.

A quick reminder of what #AI Artificial Intelligence and #MachineLearning are all about helps us think about the issues surrounding this shift. I recommend this great article by Michael Copeland, What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?  Copeland explains the relationship between #AI, #MachineLearning, and #DeepLearning:

The easiest way to think of their relationship is to visualize them as concentric circles with AI — the idea that came first — the largest, then machine learning — which blossomed later, and finally deep learning — which is driving today’s AI explosion —  fitting inside both.

ai-ml-dl-relationship

Daniel Kraft, MD is confident about what the future of healthcare looks like as a result of #AI #MachineLearning and what he calls “meta-trends” –

This set of technologies, especially when meshed together, offers a real opportunity to reshape and reinvent healthcare around the planet.

Kraft’s vision lays out major changes resulting from our technological advances:

– Patient-centered, tech-led healthcare system

– Big Pharma pivoting to handle precision medicine

– Patient care turned around by #DigitalHealth, Virtual Reality, & access to data

Dr. Kraft considers the rapid evolution of medical practice when it comes to clinical decision making. We all face the human element when a radiologist, pathologist, oncologist or many others have to make a determination in regard to a diagnosis or care plan. Kraft recently mentioned that he feels:

In 10 years it may be Malpractice to have not used #AI (or as I like to call it IA (intelligence augmentation) when making diagnostic and therapeutic decisions for individual patients.

Thinking about this, we see the formation of a new type of expanded care team – with clinicians working with the support of advanced deterministic technology.

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Read more about Kraft’s vision in Oliver Balch’s “The future of healthcare: AI, augmented reality and drug-delivering drones.”

 

 

 

As we consider the huge wins for healthcare and society from #AI, #MachineLearning & #DeepLearning, surprising and important ethical questions come up.  A great example centers on self-driving autos – when trying to avoid a certain crash, does the intelligence controlling the car choose to save you at the cost of others or, perhaps, take a risk that you may be injured (or even die) but reduce the risk to others?

TechCrunch covers this nicely in “Self-Driving Cars And The Kobayashi Maru” by Andrew Heikkila. Special props to those who remember the fictional, but valuable lesson of the Kobayashi Maru.

Matt Kiser of Algorithmia discusses “What’s Next” in “Why Deep Learning Matters and What’s Next for Artificial Intelligence.”  Matt mentions:

These change agents are ushering in a revolution that will fundamentally alter the way we live, work, and communicate akin to the industrial revolution – more specifically, AI is the new industrial revolution.

This week on #hcldr, let’s talk about what #AI, #MachineLearning, #DeepLearning and the current technological shift mean for healthcare.

Join the #hcldr community of professionals, patients, clinicians, administrators, lurkers, counselors, social workers, designers, and advocates! Please join us on Tuesday, Dec 6, 2016 at 8:30pm Eastern (for your local time click here) as we discuss the following topics:

  • T1: What impacts do you see #AI & this tech making for healthcare? Examples?
  • T2: Are the fears surrounding #AI overblown? What steps and cautions should we consider?
  • T3: Will the use of advanced technology serve to connect patients or isolate? Is the tech egalitarian or will it divide?
  • T4: What new opportunities do you see in healthcare for the use of #AI, #MachineLearning, #DeepLearning? How to get there?

 

Resources

“Artificial Intelligence and Life in 2030.”  Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David Parkes, William Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, and Astro Teller.  One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel, Stanford University, Stanford, CA,  September 2016.  http://ai100.stanford.edu/2016-report

Accessed Dec 4, 2016

“What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?” Michael Copeland, NVIDIA Blog, July 29, 2016. https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/

Accessed Dec 4, 2016

“The future of healthcare: AI, augmented reality and drug-delivering drones.” Oliver Balch, The Guardian, Oct 31, 2016. https://www.theguardian.com/sustainable-business/2016/nov/01/the-future-of-healthcare-ai-augmented-reality-and-drug-delivering-drones?CMP=share_btn_tw

Accessed Dec 2, 2016

“Self-Driving Cars And The Kobayashi Maru.” Andrew Heikkila, TechCrunch, Feb 27, 2016. https://techcrunch.com/2016/02/27/self-driving-cars-and-the-kobayashi-maru/

Accessed Dec 1, 2016

“Artificial Intelligence Will Redesign Healthcare.” Dr. Bertalan Mesko, PhD, Medical Futurist, Aug 4, 2016. http://medicalfuturist.com/artificial-intelligence-will-redesign-healthcare/

Accessed Dec 4, 2016

“This is the most dangerous time for our planet.” Stephen Hawking, The Guardian, Dec 1, 2016. https://www.theguardian.com/commentisfree/2016/dec/01/stephen-hawking-dangerous-time-planet-inequality

Accessed Dec 1, 2016

“The Fourth Industrial Revolution: what it means, how to respond.” Klaus Schwab, World Economic Forum, Jan 14, 2016. https://www.weforum.org/agenda/2016/01/the-fourth-industrial-revolution-what-it-means-and-how-to-respond/

Accessed Dec 3, 2016

“Why Deep Learning Matters and What’s Next for Artificial Intelligence.” Matt Kiser, Algorithmia, Nov 24, 2016. http://blog.algorithmia.com/ai-why-deep-learning-matters/?utm_content=buffer3c2fe&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

Accessed Dec 1, 2016

Personal conversation with Daniel Kraft, MD. #AI #MachineLearning. Daniel Kraft, MD., Dec 6, 2016. https://www.linkedin.com/in/dkraft

 

Image Credit

http://imgur.com/a/7BMLK

 

One comment

  1. […] talks about the continuing growth of innovation that started with wearables. This includes the #DeepLearning and #AI technology that is picking up speed and momentum as we […]

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