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From back pain to computer issues

Fun with Language Working with natural language can be challenging and frustrating, but it can be a lot of fun too. Let me share my newest “fun with language” moment: Research is often done in English, and there are many … Read More

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Can you come up with another one?

Did you ever wonder why computational linguists always say “natural language is ambiguous and various,” as though that is an explanation why their tasks are complicated? I mean, I get it: There are many different languages and they have different … 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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Yes, There Is a Code for That

Pecked by a turkey? There’s a medical code for that. Walked into a lamppost? There’s also a code for that. Burned by flaming water skis? Yep, there’s a code for that too. You Can’t Make This Stuff Up Most people … Read More

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Blurry MRI Images – A Job for AI

With every year, AI is finding its way more and more into the radiology field. Not only does the technology optimize processes and efficiency, but it will help with cases where radiologists haven’t found a satisfactory solution yet. In a … 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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“The more the merrier!”

This idiom describes pretty accurately how we data scientists feel about the data for our machine learning tasks. Generally speaking, the more data we have during training to put through the machine learning models, the better they get. For our … Read More

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NVIDIA Clara – How to setup your annotation server and kickstart AI driven MedTech projects

Version 1 Announced in March of 2019 at NVIDIA’s GPU Technology Conference, Clara is a powerful suite of tools that aims to put the company at the forefront of the “democratization” of AI. The final goal: empowering data scientists with … Read More

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