UU150 Study Guide - Final Guide: Royal Free Hospital, Deepmind, Moorfields Eye Hospital
The authors of our textbook argue
that the importance of technology remains a
formidable narrative today when discussing
ideas of progress and development. To think
about this in a contemporary context, we can
look at the recent breakthrough of Google
Deepthink partnership. According to a news
article written by Allana Akhtar for USA
TODAY (July 6, 2016):
Google plans to use more than one million
anonymized eye scans to teach computers
how to diagnose ocular disease. The Menlo
Park, California-based company has signed
a deal with a British eye hospital to use
artificial intelligence to learn from the medical
records of 1.6 million patients in London
hospitals. The goal (of this partnership) is to
teach a computer program to recognize the
signs of two common types of eye disease,
diabetic retinopathy and age-related macular
degeneration. That's something humans are
surprisingly imperfect at. Physicians diagnose
these ailments by analyzing medical charts
and interviewing patients, yet still get it
wrong 10 to 20% of the time.
find more resources at oneclass.com
find more resources at oneclass.com
Document Summary
The authors of our textbook argue that the importance of technology remains a formidable narrative today when discussing ideas of progress and development. To think about this in a contemporary context, we can look at the recent breakthrough of google. According to a news article written by allana akhtar for usa. Google plans to use more than one million anonymized eye scans to teach computers how to diagnose ocular disease. Park, california-based company has signed a deal with a british eye hospital to use artificial intelligence to learn from the medical records of 1. 6 million patients in london hospitals. The goal (of this partnership) is to teach a computer program to recognize the signs of two common types of eye disease, diabetic retinopathy and age-related macular degeneration. Physicians diagnose these ailments by analyzing medical charts and interviewing patients, yet still get it wrong 10 to 20% of the time.
