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Automatic diagnosis: How algorithms support radiology

Dear Sir or Madam,

Algorithms have become an integral part of modern life. They are programmed to solve problems automatically and without human intervention. A project now wants to use machine learning to support radiology. You can read how this should look like in our current interview.

Have an educational week,

Elena Blume
Editorial team MEDICA-tradefair.com

image: 12 - 15 November 2018, MEDICA - World Forum for Medicine in Düsseldorf

Table of Contents

Topic of the Month: Personalized cancer medicine
Interview: Radiology
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Personalized cancer medicine: customized treatment

Topic of the Month

Image: yellow tape measure with capsules in front of it; Copyright: panthermedia.net/Jiri Hera
Everyone is different. This statement also applies to our health. Cancer, in particular, can look and progress differently depending on the individual person. That’s why every patient ideally also needs a customized treatment that is tailored to their individual needs. But how feasible is this idea?
Read more in our Topic of the Month:
Personalized Medicine – focused on healing
Personalized cancer medicine: customized treatment

Radiology: machine learning to support medical diagnostics

Interview

Image: Young female radiologist is looking at pictures of the head and takes some notes; Copyright: panthermedia.net/mark@rocketclips.com
Automation makes work life easier in many ways but is it also a solution for analyzing medical images? Is a computer actually reliable enough to assist in the medical decision making process? Researchers in Landshut examine how machine learning algorithms can work more reliably and support radiologists.
Read the interview here:
Radiology: machine learning to support medical diagnostics
All interviews at MEDICA-tradefair.com
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