Monthly Archives: July 2016

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Automatic Microscopy : Challenges and Opportunities

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Visual microscopical examination has been one of the foundational methodologies that has been used to perform quantitative and qualitative analysis of blood smears, which are very valuable for diagnosis of many diseases. However, visual analysis of these smears by a human is tedious, time consuming and has limited statistical reliability. Thus, methods that automate visual […]

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Shonit™: From a pathologist’s point of view

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When I first heard about digital image analysis using artificial intelligence and its intended use in routine hematology reporting, I was very excited but simultaneously I had my critical views. Some of the questions that immediately came to my mind were: can a software actually analyze the cells? can it be fast enough without creating […]

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The exciting new world of machine learning in healthcare

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The field of artificial intelligence in general, and machine learning in particular, has undergone a sea change in the last few years. The way machine learning works can be briefly summarized as follows: A parameter driven classification algorithm is formulated. This is used to derive “decisions” from “input data”. Some popular choices of classification algorithms […]

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Welcome to our blog!

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There are two ways to tell a story. The most common way is after it’s all done and dusted. When all the victories have been won and all the challenges have been vanquished. Coming after all the jubilation and the hurrahs, the story does tend to gloss over all the mistakes made, and over all […]

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