Detalhe da pesquisa
1.
The feasibility of emergency department observation units in the management of mild to moderate hyponatremia.
Am J Emerg Med
; 80: 11-17, 2024 Mar 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-38471375
2.
The Increasing Burden of Emergency Department and Inpatient Consultations for "Papilledema".
J Neuroophthalmol
; 2024 Mar 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-38502219
3.
Neuro-ophthalmology Emergency Department and Inpatient Consultations at a Large Academic Referral Center.
Ophthalmology
; 130(12): 1304-1312, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37544433
4.
Fundus Photography vs. Ophthalmoscopy Outcomes in the Emergency Department (FOTO-ED) Phase III: Web-based, In-service Training of Emergency Providers.
Neuroophthalmology
; 42(5): 269-274, 2018 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-30258471
5.
Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department.
Am J Ophthalmol
; 261: 199-207, 2024 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-37926337
6.
Diagnostic accuracy and use of nonmydriatic ocular fundus photography by emergency physicians: phase II of the FOTO-ED study.
Ann Emerg Med
; 62(1): 28-33.e1, 2013 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-23433654
7.
Scribe Impacts on Provider Experience, Operations, and Teaching in an Academic Emergency Medicine Practice.
West J Emerg Med
; 16(5): 602-10, 2015 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-26587079
8.
Use of multidetector computed tomography for the assessment of acute chest pain: a consensus statement of the North American Society of Cardiac Imaging and the European Society of Cardiac Radiology.
Int J Cardiovasc Imaging
; 23(4): 415-27, 2007 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-17492364
9.
Use of multidetector computed tomography for the assessment of acute chest pain: a consensus statement of the North American Society of Cardiac Imaging and the European Society of Cardiac Radiology.
Eur Radiol
; 17(8): 2196-207, 2007 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-17549487