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Ceci n’est pas une pipe (This is not a pipe): OCR (Optical Character Recognition) process and pitfalls for healthcare

Ceci n’est pas une pipe (This is not a pipe): OCR (Optical Character Recognition) process and pitfalls for healthcare

Recognizing objects and patterns in medical images or documents can be fraught with misinterpretation and errors. Distinguishing the meaning of words that are represented by pixels can be even more challenging because words must be first identified, then processed, then understood with the right context and knowledge of that word. While OCR (Optical Character Recognition) has come a long way since Ray Kurzweil’s OCR computer program in the 1970s, it will take continuous improvement in Artificial intelligence (AI) and Machine learning (ML) to advance this technology further.

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Don’t feed Gizmo (AI) after midnight!

Don’t feed Gizmo (AI) after midnight!

In the 1984 Joe Dante film Gremlins, a cute and gentle creature can turn into a nightmarish monster if you don’t precisely follow the care instructions. Training a healthcare AI algorithm, although not quite as dramatic, can give its creators cold sweats nonetheless.

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Taming the AI Gold Rush

Taming the AI Gold Rush

Is AI a threat to physicians? Is it possible for AI algorithms to make physicians obsolete? Will the robots take over? In the second part of this series, Florent Saint-Clair kiboshes some of the many fears associated with AI. And highlights the many advancements the merging of AI and healthcare has benefitted the industry.

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