scholarly journals McConnell Sign in a Patient with Massive Acute Pulmonary Embolism

2011 ◽  
Vol 2011 ◽  
pp. 1-3
Author(s):  
Qaiser Shafiq ◽  
Ragheb Assaly ◽  
Yousuf Kanjwal
Keyword(s):  
Right Ventricle ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Hemodynamic Instability ◽  
Fibrinolytic Therapy ◽  
Right Ventricle Dysfunction ◽  
Vehicle Accident ◽  
Ct Angiogram ◽  
2D Echocardiogram ◽  
Mcconnell Sign

A 48-year-old female was admitted after experiencing a brief syncopal episode. Three weeks ago the patient sustained a right arm humerus bone fracture in a motor vehicle accident. Since the accident, her mobility has been limited. CT angiogram of the chest revealed massive bilateral pulmonary emboli. A 2D echocardiogram was performed, which demonstrated McConnell sign and severe right ventricle dysfunction. Considering potential of hemodynamic instability, the patient received fibrinolytic therapy with Alteplase. A subsequent 2D echocardiogram showed complete resolution of McConnell sign and right ventricle dysfunction.

Virtual reality and computer games in the treatment of driving phobia induced by a motor vehicle accident

2003 ◽  
Author(s):  
David Walshe ◽  
Elizabeth Lewis ◽  
Kathleen O'Sullivan ◽  
Brenda K. Wiederhold ◽  
Sun I. Kim
Keyword(s):  
Virtual Reality ◽  
Computer Games ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Vehicle Accident

Machine Learning of Motor Vehicle Accident Categories from Narrative Data

1996 ◽  
Vol 35 (04/05) ◽  
pp. 309-316 ◽  
Author(s):  
M. R. Lehto ◽  
G. S. Sorock
Keyword(s):  
Machine Learning ◽  
Bayesian Model ◽  
Keyword Search ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Computer Search ◽  
Vehicle Accident ◽  
Learning Technique ◽  
Expert Ratings ◽  
Keyword Searches

Abstract:Bayesian inferencing as a machine learning technique was evaluated for identifying pre-crash activity and crash type from accident narratives describing 3,686 motor vehicle crashes. It was hypothesized that a Bayesian model could learn from a computer search for 63 keywords related to accident categories. Learning was described in terms of the ability to accurately classify previously unclassifiable narratives not containing the original keywords. When narratives contained keywords, the results obtained using both the Bayesian model and keyword search corresponded closely to expert ratings (P(detection)≥0.9, and P(false positive)≤0.05). For narratives not containing keywords, when the threshold used by the Bayesian model was varied between p>0.5 and p>0.9, the overall probability of detecting a category assigned by the expert varied between 67% and 12%. False positives correspondingly varied between 32% and 3%. These latter results demonstrated that the Bayesian system learned from the results of the keyword searches.

Aspirated teeth - rigid or flexible bronchoscopy

2019 ◽  
pp. 1-2
Keyword(s):  
Clinical Practice ◽  
Foreign Bodies ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Flexible Bronchoscopy ◽  
Vehicle Accident

Tracheobronchial foreign bodies are a common problem in clinical practice. We present the case of a patient with three aspirated teeth following a motor vehicle accident.

Isolated second trimester uterine rupture following a motor vehicle accident

2021 ◽  
Vol 258 ◽  
pp. 461-463
Author(s):  
Tal Margaliot Kalifa ◽  
Misgav Rottenstreich ◽  
Eyal Mazaki ◽  
Hen Y. Sela ◽  
Schwartz Alon ◽  
...  
Keyword(s):  
Uterine Rupture ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Second Trimester ◽  
Vehicle Accident

scholarly journals Obstructive Sleep Apnea and Risk of Motor Vehicle Accident

2021 ◽  
Author(s):  
Gaia S. Pocobelli ◽  
Mary A. Akosile ◽  
Ryan N. Hansen ◽  
Joanna Eavey ◽  
Robert D. Wellman ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Vehicle Accident ◽  
Obstructive Sleep

BILATERAL OPTIC ATROPHY FOLLOWING MILD TRAUMA IN A MOTOR VEHICLE ACCIDENT.

2002 ◽  
Vol 79 (Supplement) ◽  
pp. 91
Author(s):  
Jeffrey Roth ◽  
Khadija Shahid ◽  
Jerome Sherman ◽  
Jeffrey Cooper
Keyword(s):  
Optic Atrophy ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Vehicle Accident
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