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00:01:41 1 History
00:03:30 2 Current Research
00:03:51 2.1 Radiology
00:04:45 2.2 Telehealth
00:05:19 2.3 Industry
00:06:07 2.3.1 IBM
00:06:28 2.3.2 Microsoft
00:06:50 2.3.3 Google
00:07:18 2.3.4 Intel
00:07:37 2.3.5 Startups
00:10:01 3 Regulation
00:11:54 4 Government investment
00:12:18 5 See also



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Speaking Rate: 0.9410797654177153
Voice name: en-GB-Wavenet-A


"I cannot teach anybody anything, I can only make them think."
- Socrates


SUMMARY
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Artificial intelligence (AI) in healthcare is the use of algorithms and software to approximate human cognition in the analysis of complex medical data. Specifically, AI is the ability for computer algorithms to approximate conclusions without direct human input.
What distinguishes AI technology from traditional technologies in health care is the ability to gain information, process it and give a well-defined output to the end-user. AI does this through machine learning algorithms, which can recognize patterns in behavior and create its own logic. In order to reduce the margin of error, AI algorithms need to be tested repeatedly. AI algorithms behave differently from humans in two ways: (1) algorithms are literal: if you set a goal, the algorithm can’t adjust itself and only understand what is has been told explicitly, (2) and algorithms are black boxes; algorithms can predict extremely precise, but not the cause or the why. The primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes. AI programs have been developed and applied to practices such as diagnosis processes, treatment protocol development, drug development, personalized medicine,and patient monitoring and care. Medical institutions such as The Mayo Clinic, Memorial Sloan Kettering Cancer Center, Massachusetts General Hospital, and National Health Service, have developed AI algorithms for their departments. Large technology companies such as IBM and Google, and startups such as Welltok and Ayasdi, have also developed AI algorithms for healthcare.

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