Top

PrECISE

Blog

  • Home
    Home This is where you can find all the blog posts throughout the site.
  • Categories
    Categories Displays a list of categories from this blog.
  • Tags
    Tags Displays a list of tags that have been used in the blog.
  • Bloggers
    Bloggers Search for your favorite blogger from this site.
  • Team Blogs
    Team Blogs Find your favorite team blogs here.
  • Login
    Login Login form

IBM/UZH featured in Italian TV news

Posted by on in Uncategorized
  • Font size: Larger Smaller
  • Hits: 664
  • 0 Comments
  • Subscribe to this entry
  • Print

On 5th September, 2016 RAI3 Italy ran a 45 minutes news show about robots and computer intelligence. The segment included many examples from the IT industry including Amazon's robotic warehouses, Google's and Tesla's self driving cars, a helpdesk tool from Accenture and IBM Watson.

A sequence was dedicated to IBM with several interviews including partner Dr. Peter Wild from the Hospital of Zurich, talking about the benefits of integrating Watson in making life-saving diagnosis: "Watson can analyse all of these prostate cancer samples and compare this with existing published data to determine the right course of treatment for the individual patient. It's impossible for me to do all of this as quickly."

Lately, IBM’s cognitive computer Watson successfully diagnosed a woman with a rare form of leukemia which doctors had not detected - see the article here. In the PrECISE project, the Watson cognitiv copmputer is used to mine literature and to analyze incoming data using the developed models and methods in the work packages 4 to 6. 

 

0
Sandra Lisa Lattacher studied Medical Information Technology at the Carinthia University of Applied Sciences and received her master’s degree in Health Care IT in February 2014. Her master thesis deals with methods for indoor position estimation of seismic sources in smart homes by means of neural networks. She has been working for Technikon since April 2014, where her main focus lies on data analysis, pattern recognition and statistical evaluation on PUF data.

Comments

  • No comments made yet. Be the first to submit a comment

Leave your comment

Guest Thursday, 24 August 2017
tensunitdepot.com