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Year | Number of Results |
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2014 | 1 |
2015 | 1 |
2023 | 2 |
2024 | 0 |
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Page 1
Improved Drill State Recognition during Milling Process Using Artificial Intelligence.
Sensors (Basel). 2023 Jan 1;23(1):448. doi: 10.3390/s23010448.
Sensors (Basel). 2023.
PMID: 36617050
Free PMC article.
A video to improve patient and surrogate understanding of cardiopulmonary resuscitation choices in the ICU: a randomized controlled trial.
Wilson ME, Krupa A, Hinds RF, Litell JM, Swetz KM, Akhoundi A, Kashyap R, Gajic O, Kashani K.
Wilson ME, et al. Among authors: krupa a.
Crit Care Med. 2015 Mar;43(3):621-9. doi: 10.1097/CCM.0000000000000749.
Crit Care Med. 2015.
PMID: 25479118
Clinical Trial.
Item in Clipboard
Advanced Feature Extraction Methods from Images of Drillings in Melamine Faced Chipboard for Automatic Diagnosis of Drill Wear.
Antoniuk I, Kurek J, Krupa A, Wieczorek G, Bukowski M, Kruk M, Jegorowa A.
Antoniuk I, et al. Among authors: krupa a.
Sensors (Basel). 2023 Jan 18;23(3):1109. doi: 10.3390/s23031109.
Sensors (Basel). 2023.
PMID: 36772151
Free PMC article.
Item in Clipboard
Development, validation, and results of a survey to measure understanding of cardiopulmonary resuscitation choices among ICU patients and their surrogate decision makers.
Wilson ME, Akhoundi A, Krupa AK, Hinds RF, Litell JM, Gajic O, Kashani K.
Wilson ME, et al. Among authors: krupa ak.
BMC Anesthesiol. 2014 Mar 8;14:15. doi: 10.1186/1471-2253-14-15.
BMC Anesthesiol. 2014.
PMID: 24606839
Free PMC article.
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