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How is data anonymized?

To effectively train radiologists and the artificial intelligence algorithms that assist them in detecting and diagnosing specific pathologies, a large data set is needed. Typically, training sets of data must be obtained from several sources, usually various hospitals. But how … Read More

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Natural Language Interface for Databases

How to get your data without technical knowledge In this time of digitalization, it is quite safe to say that every company has some type of database. It could be a small database to store some contact information, or big … Read More

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Care and Feeding of a Neural Net

Despite the incredibly complex math and analytics behind the process, training a neural net has often been compared to teaching a toddler. Some commonalities: A steep learning curve. Even if you have some prior experience with children, or you’ve read … Read More

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“A small change for a word, but a big change for the lemmatizer”

In my previous blogs, I talked about the difficulty provided by natural language (e.g. ambiguity and variety) and the medical domain (e.g. medical words unknown in common tools). Today, I want to show you another aspect: How big the impact … Read More

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Can you shorten everything?

Remember my blog post about how in German you can string words together to form new ones? As mentioned in that post, this increases the possible terms for pathologies and can be frustrating when trying to find all possible variations of … Read More

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Why Buy Into AI

The bottom line. Return on investment. Getting the most bang for your buck. However you phrase it, all companies are concerned with profit margins and risk management. CEOs of major companies have taken a cautious but steady approach to integrating … Read More

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«Same Difference»

When humans are talking or writing, they are not as precise as you would think. Usually, this is no issue because the meaning is implied by the context and if not, the other participants will enquire to achieve understanding. Problem … Read More

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Have No Fear, AI Is Here!

75% of those in charge of hospital imaging departments in the UK agree: The NHS does not currently have enough radiologists to keep patients safe. The 2018 Royal College of Radiologists Annual Workforce report, released April 2019, confirms the predicted … Read More

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