We often hear about the potential for AI in healthcare, or how it could transform organisations like the UK’s National Health Service.
The AI ethics debate: does generative AI harm creative industries? Artists are worried that DALL-E could put them out of a job.
In 2016, the British computer scientist and Turing Award winner Geoffrey Hinton stated: We should stop training radiologists now. It’s just completely obvious that within five years, deep learning is going to do better than radiologists.
We are excited to announce that our data harmonisation project Harmony has reached the final round of the Wellcome Data Prize in Mental Health.
Informatics and data science in any sector, and not just healthcare, are two very distinct fields. While informatics focuses on coming up with systems for the collection, storage, and management of data, data science is all about using the right tools to gain valuable insights through complex analytics.
NLP use cases have grown significantly in recent years. From NLP use cases in finance to NLP in healthcare use cases, we explore the various uses for business.
We designed the Clinical Trial Risk Tool, a clinical trial risk assessment tool using AI and NLP to quantify the risk of a trial ending uninformatively.
Do you need to compare questionnaire data across studies? Are the items inconsistent, or are there different versions of the same questionnaire floating around?
We have been developing a tool using Natural Language Processing which is designed to help researchers in the social sciences to harmonise datasets from different contexts.
We excited to announce that we are working on a new project called Harmony for the Wellcome Trust Mental Health Data Prize - this uses natural language processing to combine data in the social sciences from different questionnaires, such as the GAD-7 and Beck’s Anxiety Inventory, even when the questionnaires are in different languages!
How AI and machine learning are transforming healthcare. The use of Artificial Intelligence (AI) in the healthcare field is already expanding monumentally, showing its application in many subsets and providing benefits to companies, physicians, and patients alike.
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