Category: Artificial Intelligence

Enola RDI Image

Enola™ Rare Disease Investigator

Enola is a symptom checker for undiagnosed rare disease patients and their clinicians. It uses real-world evidence to create a prioritised differential diagnosis (DDx) based on the symptoms and findings of the patient. This helps to narrow-down and prioritise further investigation and testing and ensures statistically significant rare diseases are considered. Combined with real-world patient
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Patient de-identification in Medical Images with Glendor’s AI

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Patient data is the fuel for healthcare research The UK Government has a grand challenge mission to ‘Use data, Artificial Intelligence and innovation to transform the prevention, early diagnosis and treatment of chronic diseases by 2030′ To achieve this mission the NHS needs to make more patient and image data available to researchers. And it
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a healthcare knowledge graph

Graph Technology a Top 10 Gartner Trend in Data & Analytics

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Graph relates everything – Graph forms the foundation of modern data and analytics with capabilities to enhance and improve user collaboration, machine learning models and explainable AI. Although graph technologies are not new to data and analytics, there has been a shift in the thinking around them as organizations identify an increasing number of use cases.
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Chatbots in Education

Why Chatbots are a Great Asset for Universities

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Chatbots are an additional communication channel between an organisation and its customers. A chatbot will automatically and instantly respond without human intervention. The technology is based on AI, natural language processing, and text analysis and has slowly been improving over the last few years. This technology is a boon for universities around the world. It
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Exponential Medicine

An introduction to Data & Machine Learning in Healthcare

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Recorded a few years ago at Exponential Medicine 2016 by the founder of AIMed, Dr. Anthony Chang, MD, MBA MPH. It is still a great introduction to the opportunities and challenges of making better use of data and adopting AI in Healthcare. We are proud to be a part of the AIMed community in the
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Notes from the AI Medicine Trenches part 2 – data and apps

Notes from the AI Medicine Trenches. Part 2 – data and apps

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This post was written by Brendan DUNPHY (CEO of C-BIA Consulting) and first published on AIMed The following are notes penned by an AIMed Europe conference attendee, who listened intently as Dr Anthony Chang and other experts in the field of medical artificial intelligence explained how the emerging paradigm of medical AI would be powered
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Can clinical data do the heavy lifting

Are clinicians ready for clinical data to do the heavy lifting?

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An earlier version of this post was written by Brendan DUNPHY (CEO of C-BIA Consulting) and first published on AIMed Data, Data Everywhere but…… In much of Healthcare, clinical data are increasingly present but stranded – unloved, ephemeral and underused. Healthcare data do not carry the load of knowledge or routinely inform clinical decision-making. Data
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Pilots and radiologists can have careers alongside AI

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Al Med by Brendan Dunphy, CEO at C-BIA Consulting Ltd. First published at AIMed in response to OPINION: AI will lead to job losses in NHS radiology. There is nothing new to the discussion of job losses in medicine, especially in radiology, as new technology has been impacting jobs and professions for thousands of years
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