SummaryInformation Extraction methods can help discover critical knowledge buried in the vast repositories of unstructured clinical data. However, these methods are underutilized in clinical research, potentially due to the absence of free software geared towards clinicians with little technical expertise. The skills required for developing/using such software constitute a major barrier for medical researchers wishing to employ these methods. To address this, we have developed Canary, a free and open-source solution designed for users without natural language processing (NLP) or software engineering experience. It was designed to be fast and work out of the box via a user-friendly graphical interface. Citation: Malmasi S, Sandor NL, Hosomura N, Goldberg M, Skentzos S, Turchin A. Canary: an NLP platform for clinicians and researchers. Appl Clin Inform 2017; 8: 447–453 https://doi.org/10.4338/ACI-2017-01-IE-0018

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Summary: During the initial testing of Radio Leicester a swept-frequency technique for testing radio antennae was shown to affect demand pacemakers by inhibition of the pacing impulse and to interfere with physiological monitoring equipment. Adequate filtering of demand pacemakers is necessary to eliminate this interference. There is no evidence that such testing has any effect on the function of fixed-rate pacemakers. There is also a potential danger to implanted demand pacemakers by the use of similar polyscope generators used for servicing radio and television apparatus in industry.

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