Medicine in the Age of AI

Medicine in the Age of AI
#AI #MachineLearning #DeepLearning #ML #DL #HealthTech #tech

  • I have not seen any significant use of AI in my own clinical practice during my time in Boston, but exciting developments in the last two years hold much promise.
  • One of the potential benefits when integrating AI into medical practice is improvement of clinical decision making and diagnosis.
  • The concept of using AI to provide clinical decision support systems for physicians has been studied in some medical specialties with varying degrees of effectiveness.
  • Comparisons between the paradigms of machine learning based, knowledge based, and hybrid methods have not yielded a clear model on how AI best uses clinical data to arrive at a diagnosis.
  • There is promise that Deep Learning methodology will allow for AI to train much like a medical resident does through a large data set of disease presentations.

A discussion on Dr. Michael Forsting’s article “Machine Learning Will Change Medicine” in the Journal of Nuclear Medicine.
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Understanding the differences between AI, machine learning, and deep learning

Understanding the differences between #AI, #machinelearning, and #deeplearning ▷

  • IBM’s Deep Blue, which beat chess grand master Garry Kasparov at the game in 1996, or Google DeepMind’s AlphaGo, which in 2016 beat Lee Sedol at Go, are examples of narrow AI—AI that is skilled at one specific task.
  • DeepMind, on the other hand, is: It beat the world champion in Go by training itself on a large data set of expert moves.SEE: Machine learning: The smart person’s guide (TechRepublic)Is your business interested in integrating machine learning into its strategy?
  • Amazon, Baidu, Google, IBM, Microsoft and others offer machine learning platforms that businesses can use.Deep Learning Deep learning is a subset of ML.
  • It would take a very massive data set of images for it to understand the very minor details that distinguish a cat from, say, a cheetah or a panther or a fox.As mentioned above, in March 2016, a major AI victory was achieved when DeepMind’s AlphaGo program beat world champion Lee Sedol in 4 out of 5 games of Go using deep learning.
  • Sundown AI, for instance, has mastered automated customer interactions using a combination of ML and policy graph algorithms—not deep learning.Also see… The 6 most exciting AI advances of 2016 (TechRepublic)3 major AI trends to watch in 2017 (TechRepublic)Microsoft’s new breakthrough: AI that’s as good as humans at listening… on the phone (ZDNet)Five ways your company can get started implementing AI and ML (ZDNet)Research: 63% say business will benefit from AI (Tech Pro Research)How Google’s DeepMind beat the game of Go, which is even more complex than chess (TechRepublic)Smart machines are about to run the world: Here’s how to prepare (TechRepublic)Why AI could destroy more jobs than it creates, and how to save them (TechRepublic)7 trends for artificial intelligence in 2016: ‘Like 2015 on steroids’ (TechRepublic)

Artificial intelligence, machine learning, and deep learning have become integral for many businesses. But, the terms are often used interchangeably. Here’s how to tell them apart.
Continue reading “Understanding the differences between AI, machine learning, and deep learning”

Understanding the differences between AI, machine learning, and deep learning

Understanding the differences between AI, machine learning, and deep learning

  • IBM’s Deep Blue, which beat chess grand master Garry Kasparov at the game in 1996, or Google DeepMind’s AlphaGo, which in 2016 beat Lee Sedol at Go, are examples of narrow AI—AI that is skilled at one specific task.
  • DeepMind, on the other hand, is: It beat the world champion in Go by training itself on a large data set of expert moves.SEE: Machine learning: The smart person’s guide (TechRepublic)Is your business interested in integrating machine learning into its strategy?
  • Amazon, Baidu, Google, IBM, Microsoft and others offer machine learning platforms that businesses can use.Deep Learning Deep learning is a subset of ML.
  • It would take a very massive data set of images for it to understand the very minor details that distinguish a cat from, say, a cheetah or a panther or a fox.As mentioned above, in March 2016, a major AI victory was achieved when DeepMind’s AlphaGo program beat world champion Lee Sedol in 4 out of 5 games of Go using deep learning.
  • Sundown AI, for instance, has mastered automated customer interactions using a combination of ML and policy graph algorithms—not deep learning.Also see… The 6 most exciting AI advances of 2016 (TechRepublic)3 major AI trends to watch in 2017 (TechRepublic)Microsoft’s new breakthrough: AI that’s as good as humans at listening… on the phone (ZDNet)Five ways your company can get started implementing AI and ML (ZDNet)Research: 63% say business will benefit from AI (Tech Pro Research)How Google’s DeepMind beat the game of Go, which is even more complex than chess (TechRepublic)Smart machines are about to run the world: Here’s how to prepare (TechRepublic)Why AI could destroy more jobs than it creates, and how to save them (TechRepublic)7 trends for artificial intelligence in 2016: ‘Like 2015 on steroids’ (TechRepublic)

Artificial intelligence, machine learning, and deep learning have become integral for many businesses. But, the terms are often used interchangeably. Here’s how to tell them apart.
Continue reading “Understanding the differences between AI, machine learning, and deep learning”