Showing results (121-130 of 401) with videos related to

Sort By:
Pageof 41
Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology|January 8, 2020
Diagnostic performance of quantitative and qualitative parameters for the diagnosis of aortic graft infection using [<sup>18</sup>F]-FDG PET/CTIngo Einspieler, Victor Mergen, Heiko Wendorff, et al.
Sportverletzung Sportschaden : Organ Der Gesellschaft Fur Orthopadisch-Traumatologische Sportmedizin|June 6, 2018
[Standards in rehabilitation following anterior cruciate ligament reconstruction in the German-speaking world]Christina Valle, Anja Hirschmüller, Marcus Schmitt-Sody, et al.
The Journal of Pediatrics|February 26, 2013
The cardio-metabolic risk of moderate and severe obesity in children and adolescentsMelanie Rank, Monika Siegrist, Désirée C Wilks, et al.
Plos One|July 26, 2017
Self-help guidebook improved quality of life for patients with irritable bowel syndromeAntonius Schneider, Stefanie Rosenberger, Johanna Bobardt, et al.
Journal of Neurology|December 8, 2023
Reduced tear fluid production in neurological diseases: a cohort study in 708 patientsElena Luib, Antonia F Demleitner, Isabell Cordts, et al.
Clinical and Experimental Rheumatology|April 4, 2020
18F-FDG PET/MRI compared with clinical and serological markers for monitoring disease activity in patients with aortitis and chronic periaortitisIngo Einspieler, Martin Henninger, Victor Mergen, et al.
Journal of Cardiopulmonary Rehabilitation and Prevention|December 23, 2017
Effect of Individualized Combined Exercise Versus Group-Based Maintenance Exercise in Patients With Heart Disease and Reduced Exercise Capacity: THE DOPPELHERZ TRIALJeffrey W Christle, Anna Schlumberger, Otto Zelger, et al.
Advances in Health Sciences Education : Theory and Practice|May 11, 2023
Student mistakes and teacher reactions in bedside teachingHannah P K Rubisch, Anna-Lena Blaschke, Pascal O Berberat, et al.
Scientific Reports|May 2, 2023
Enabling personalized perioperative risk prediction by using a machine-learning model based on preoperative dataMartin Graeßner, Bettina Jungwirth, Elke Frank, et al.
Pageof 41