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Top Papers: Radiologie (2018)

Die 50 meistzitierten Arbeiten zu Radiologie aus dem Jahr 2018 (von 2.354 insgesamt).

Die Radiologie gehört zu den Fachbereichen, in denen digitale Technologien besonders großen Einfluss haben. Automatisierte Befundungssysteme und KI-gestützte Bildanalysen ergänzen zunehmend die Arbeit von Radiologen. Gleichzeitig verändern sich Ausbildungskonzepte und Qualitätsstandards. Diese Übersicht zeigt die einflussreichsten Arbeiten und aktuellen Trends in der radiologischen Forschung.

#PaperZitationen
1

Ten frequently asked questions about latent class analysis.

Karen Nylund‐Gibson, Andrew Young Choi

Translational Issues in Psychological Science

1.905
2

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

Pranav Rajpurkar, Jeremy Irvin, Robyn L. Ball et al.

PLoS Medicine

1.350
3

Barriers and solutions to online learning in medical education – an integrative review

Diane O’Doherty, Marie Dromey, Justan Lougheed et al.

BMC Medical Education

1.031
4

Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine

Filippo Pesapane, Marina Codari, Francesco Sardanelli

European Radiology Experimental

806
5

Current Applications and Future Impact of Machine Learning in Radiology

Garry Choy, Omid Khalilzadeh, Mark Michalski et al.

Radiology

792
6

Medical students' attitude towards artificial intelligence: a multicentre survey

Daniel Pinto dos Santos, Daniel Giese, Sebastian Brodehl et al.

European Radiology

702
7

Deep neural network improves fracture detection by clinicians

Robert Lindsey, Aaron Daluiski, Sumit Chopra et al.

Proceedings of the National Academy of Sciences

594
8

Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology

An Tang, Roger Tam, Alexandre Cadrin-Chênevert et al.

Canadian Association of Radiologists Journal

502
9

Assessment, feedback and the alchemy of learning

Christopher Watling, Shiphra Ginsburg

Medical Education

406
10

Time to Add a Fifth Pillar to Bedside Physical Examination

Jagat Narula, Y. Chandrashekhar, Eugene Braunwald

JAMA Cardiology

322
11

Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study

Bo Gong, James P. Nugent, William Guest et al.

Academic Radiology

321
12

2018 Consensus framework for good assessment

John J. Norcini, M. Brownell Anderson, Valdes Roberto Bóllela et al.

Medical Teacher

302
13

Thyroid Imaging Reporting and Data System (TI-RADS): A User’s Guide

Franklin N. Tessler, William D. Middleton, Edward G. Grant

Radiology

286
14

The future of radiology augmented with Artificial Intelligence: A strategy for success

Charlene Liew

European Journal of Radiology

252
15

Milestones 2.0: A Step Forward

Laura Edgar, Sydney Castle Roberts, Eric S. Holmboe

Journal of Graduate Medical Education

228
16

ESR paper on structured reporting in radiology

European Society of Radiology

Insights into Imaging

227
17

A Review of Innovative Teaching Methods

Rebecca Sivarajah, Nicole E. Curci, Elizabeth M. Johnson et al.

Academic Radiology

224
18

Lung Ultrasound for the Cardiologist

Eugenio Picano, Maria Chiara Scali, Quirino Ciampi et al.

JACC. Cardiovascular imaging

214
19

Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study

Andrew Taylor, Clinton Mielke, John Mongan

PLoS Medicine

211
20

Can nurses remain relevant in a technologically advanced future?

Joseph Andrew Pepito, Rozzano C. Locsin

International Journal of Nursing Sciences

205
21

Comparison of Performance Characteristics of American College of Radiology TI-RADS, Korean Society of Thyroid Radiology TIRADS, and American Thyroid Association Guidelines

William D. Middleton, Sharlene A. Teefey, Carl C. Reading et al.

American Journal of Roentgenology

199
22

Deep learning in chest radiography: Detection of findings and presence of change

Ramandeep Singh, Mannudeep K. Kalra, Chayanin Nitiwarangkul et al.

PLoS ONE

196
23

Medical Student Ultrasound Education: A WFUMB Position Paper, Part I

Christoph F. Dietrich, Beatrice Hoffmann, Jacques S. Abramowicz et al.

Ultrasound in Medicine & Biology

195
24

Lung Ultrasound for the Emergency Diagnosis of Pneumonia, Acute Heart Failure, and Exacerbations of Chronic Obstructive Pulmonary Disease/Asthma in Adults: A Systematic Review and Meta-analysis

Leonardo Jönck Staub, Roberta Rodolfo Mazzali Biscaro, Erikson Kaszubowski et al.

Journal of Emergency Medicine

174
25

Addressing Burnout in Radiologists

Alison Chetlen, Tiffany L. Chan, David H. Ballard et al.

Academic Radiology

172
26

The past, present and future role of artificial intelligence in imaging

Mohammad Ihsan Fazal, Muhammed Ebrahim Patel, Jamie Tye et al.

European Journal of Radiology

170
27

Artificial Intelligence in Radiology: Current Technology and Future Directions

Adam C. Zoga, Ali Syed

Seminars in Musculoskeletal Radiology

164
28

Interobserver Variability of Sonographic Features Used in the American College of Radiology Thyroid Imaging Reporting and Data System

Jenny K. Hoang, William D. Middleton, Alfredo E. Farjat et al.

American Journal of Roentgenology

164
29

Diagnostic Accuracy of Chest Radiograph, and When Concomitantly Studied Lung Ultrasound, in Critically Ill Patients With Respiratory Symptoms: A Systematic Review and Meta-Analysis

Michiel H. Winkler, Hugo Touw, Peter M. van de Ven et al.

Critical Care Medicine

162
30

Giving and Receiving Effective Feedback: A Review Article and How-To Guide

Rachel Jug, Xiaoyin “Sara” Jiang, Sarah M. Bean

Archives of Pathology & Laboratory Medicine

161
31

Few-shot learning with graph neural networks

Victor García Satorras, Joan Bruna Estrach

160
32

White and Pharoah's Oral Radiology: Principles and Interpretation

Ernest W.N. Lam, Sanjay M. Mallya

153
33

Lung ultrasound compared to chest X‐ray for diagnosis of pediatric pneumonia: A meta‐analysis

Daniel S Balk, Christine Lee, Jesse M. Schafer et al.

Pediatric Pulmonology

148
34

Radiologic Clinics of North America

Radiologic Clinics of North America

140
35

Medical Imaging: From Roentgen to the Digital Revolution, and Beyond

E. Bercovich, Marcia C. Javitt

Rambam Maimonides Medical Journal

139
36

Diagnostic use of lung ultrasound compared to chest radiograph for suspected pneumonia in a resource-limited setting

Yogendra Amatya, Jordan Rupp, Frances M. Russell et al.

International Journal of Emergency Medicine

137
37

Fundamentals of Diagnostic Error in Imaging

Jason N. Itri, Rafel R. Tappouni, Rachel O. McEachern et al.

Radiographics

136
38

The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program

Fernando Collado‐Mesa, Edilberto Alvarez, Kris Arheart

Journal of the American College of Radiology

136
39

The virtual patient as a learning tool: a mixed quantitative qualitative study

Andrés Isaza-Restrepo, María Teresa Soria Gómez, Gary Cifuentes et al.

BMC Medical Education

133
40

Chest ultrasonography for the emergency diagnosis of traumatic pneumothorax and haemothorax: A systematic review and meta-analysis

Leonardo Jönck Staub, Roberta Rodolfo Mazzali Biscaro, Erikson Kaszubowski et al.

Injury

131
41

LAP-VEGaS Practice Guidelines for Reporting of Educational Videos in Laparoscopic Surgery

Valerio Celentano, Neil Smart, John McGrath et al.

Annals of Surgery

130
42

Cardiac Point-of-Care Ultrasound: State-of-the-Art in Medical School Education

Amer M. Johri, Joshua Durbin, Joseph Newbigging et al.

Journal of the American Society of Echocardiography

124
43

ACR Neck Imaging Reporting and Data Systems (NI-RADS): A White Paper of the ACR NI-RADS Committee

Ashley H. Aiken, Tanya J. Rath, Yoshimi Anzai et al.

Journal of the American College of Radiology

124
44

A Systematic Review of Fatigue in Radiology: Is It a Problem?

Nadia Stec, Danielle Arje, Alan R. Moody et al.

American Journal of Roentgenology

122
45

Learning Analytics in Medical Education Assessment: The Past, the Present, and the Future

Teresa M. Chan, Stefanie S. Sebok‐Syer, Brent Thoma et al.

AEM Education and Training

122
46

About Politeness, Face, and Feedback: Exploring Resident and Faculty Perceptions of How Institutional Feedback Culture Influences Feedback Practices

Subha Ramani, Karen D. Könings, Karen Mann et al.

Academic Medicine

122
47

Blockchain Technology: A Data Framework to Improve Validity, Trust, and Accountability of Information Exchange in Health Professions Education

E.E. Funk, Jeff Riddell, Felix Ankel et al.

Academic Medicine

120
48

Lung ultrasound training: a systematic review of published literature in clinical lung ultrasound training

Pia Iben Pietersen, Kristian Rørbæk Madsen, Ole Graumann et al.

Critical Ultrasound Journal

120
49

Traumatic fractures in adults: missed diagnosis on plain radiographs in the Emergency Department.

Antônio Germane Alves Pinto, Daniela Berritto, Anna Russo et al.

PubMed

118
50

Teaching of anatomical sciences: A blended learning approach

Mohammed K. Khalil, Eiman Abdel Meguid, Ihsan A. Elkhider

Clinical Anatomy

116

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