Publications by authors named "G M Dickinson"
Objectives: The accurate identification of Emergency Department (ED) encounters involving opioid misuse is critical for health services, research, and surveillance. We sought to develop natural language processing (NLP)-based models for the detection of ED encounters involving opioid misuse.
Methods: A sample of ED encounters enriched for opioid misuse was manually annotated and clinical notes extracted.
Article Synopsis
- The audit aimed to assess and improve the completeness and accuracy of the National Joint Registry (NJR) dataset specifically for elbow arthroplasty surgeries.
- In a two-phase approach, Phase 1 compared NJR data with NHS England Hospital Episode Statistics (HES), identifying thousands of unmatched and inaccurate records, particularly for radial head arthroplasties (RHAs).
- Phase 2 involved collaboration among 142 NHS hospitals to correct and update records, resulting in an improved completeness of the NJR dataset from 63% to 93% and accuracy from 94% to 98%.
DNA-based Points Accumulation for Imaging in Nanoscale Topography (DNA-PAINT) is an effective super resolution microscopy technique, and its optimization is key to improve nanoscale detection. The state-of-the-art improvements that are at the base of this optimization have been first routinely validated on DNA nanostructure devices before being tested on biological samples. This allows researchers to finely tune DNA-PAINT imaging features in a more controllable environment.
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- The study reviews postmortem genetic testing results for cardiomyopathy and cardiac arrhythmia cases from the largest medical examiner office in the U.S., covering cases from 2015 to 2022.
- Among 1107 decedents, 7.9% showed pathogenic/likely pathogenic variants (P/LPVs), with a higher diagnostic yield observed in those diagnosed with cardiomyopathy compared to those without.
- The findings highlight the value of genetic testing across all ages, revealing significant rates of P/LPVs in various cardiac conditions, especially hypertrophic and arrhythmogenic cardiomyopathy.