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Medical AI Applications Blog

Let’s start with NLP - Natural Language Processing – this is machine learning technology that every computer user has experienced, in the form of a spell-checker. We rely on our computers to prevent spelling mistakes.

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Clinicians are under time pressure due to increasing demand for medical care, information overload, and administrative regulations.  A study conducted by Mayo Clinic found “45 percent of respondents experienced at...

Kaiser Permanente is one of the USA’s largest health plans, serving 12.3 million members via 39 hospitals and over 217,000 employees. This case study shows how the company leveraged John Snow...

Many critical facts required by healthcare AI applications like patient risk prediction, cohort selection, and clinical decision support are locked in unstructured free-text data. Recent advances in deep learning have raised...

An AI-based solution that delivers a future-proof model using transfer learning which can be used to convert source-agnostic unstructured data into structured data. It supports the classification of artifacts and...

Patient experience information available in public data sources such as social media and case reports is of immense value to Pharma industries. Insights generated from this data can influence the...