Publications by authors named "Karan Makhija"

Introduction: Digital pathology artificial intelligence (AI) platforms have the capacity to improve over time through "deep machine learning." We have previously reported on the accuracy of peripheral white blood cell (WBC) differential and blast identification by Techcyte (Techcyte, Inc., Orem, UT, USA), a digital scanner-agnostic web-based system for blood film reporting.

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Introduction: Digital microscopy systems are beginning to replace traditional light microscopes for morphologic analysis of blood films, but these are geographically restricted to individual computers and technically limited by manufacturer's constraints. We explored the use of a scanner-agnostic web-based artificial intelligence (AI) system to assess the accuracy of white blood cell (WBC) differentials and blast identification in haematological malignancies.

Methods: Digitized images of 20 normal and 124 abnormal peripheral blood films were uploaded to the web-based platform (Techcyte©) and WBC differentials performed using the online AI software.

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Current guidelines on the diagnosis and exclusion of malaria stipulate that if there is an initial negative result on blood film, multiple blood film preparations should be taken to sufficiently exclude malaria.We looked at a state-wide database of blood results retrospectively for a period of 14 years to identify subjects who had been tested for malaria.Most (93%) of patients were diagnosed on the first blood smear.

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Objective: The primary focus of this review is to provide an overview of the role of inflammation in the development of depression. The article will describe how inflammatory cytokines contribute to depression via action on three major pathways in the brain: the neuroendocrine; neurotransmitter depletion; and neuroprogression pathways.

Methods: An online literature search was carried out in July 2012.

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