Top Papers: Radiologie (2021)

Die 50 meistzitierten Arbeiten zu Radiologie aus dem Jahr 2021 (von 2.763 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.

2019 2020 2021 2022

#	Paper	Zitationen
1	First Clinical Photon-counting Detector CT System: Technical Evaluation Kishore Rajendran, Martin Petersilka, André Henning et al. Radiology	524
2	Do as AI say: susceptibility in deployment of clinical decision-aids Susanne Gaube, Harini Suresh, Martina Raue et al. npj Digital Medicine	410
3	Artificial intelligence in radiology: 100 commercially available products and their scientific evidence Kicky G. van Leeuwen, Steven Schalekamp, Matthieu Rutten et al. European Radiology	410
4	Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence Ekaterina Jussupow, Kai Spohrer, Armin Heinzl et al. Information Systems Research	361
5	How to improve access to medical imaging in low- and middle-income countries ? Guy Frija, Ivana Blažić, Donald P. Frush et al. EClinicalMedicine	267
6	Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence Ali Guermazi, Chadi Tannoury, Andrew J. Kompel et al. Radiology	257
7	Quantitative Lung Ultrasound: Technical Aspects and Clinical Applications Silvia Mongodi, Danièle De Luca, Andrea Colombo et al. Anesthesiology	255
8	Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review Rebecca Charow, Tharshini Jeyakumar, Sarah Younus et al. JMIR Medical Education	225
9	How does artificial intelligence in radiology improve efficiency and health outcomes? Kicky G. van Leeuwen, Maarten de Rooij, Steven Schalekamp et al. Pediatric Radiology	220
10	An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude Merel Huisman, Erik Ranschaert, William Parker et al. European Radiology	219
11	Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study Jarrel Seah, Cyril Tang, Quinlan D. Buchlak et al. The Lancet Digital Health	216
12	Pre-clinical remote undergraduate medical education during the COVID-19 pandemic: a survey study Bita Shahrvini, Sally L. Baxter, Charles S. Coffey et al. BMC Medical Education	196
13	A systematic review of natural language processing applied to radiology reports Arlene Casey, Emma Davidson, Michael Poon et al. BMC Medical Informatics and Decision Making	191
14	Impact of COVID-19 pandemic on dental education: online experience and practice expectations among dental students at the University of Jordan Susan Hattar, Abeer AlHadidi, Faleh Sawair et al. BMC Medical Education	179
15	Indian Journal of Radiology and Imaging Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging	176
16	Online Medical Education in India – Different Challenges and Probable Solutions in the Age of COVID-19 Nirav Nimavat, Shruti Singh, Nilesh Fichadiya et al. Advances in Medical Education and Practice	171
17	To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines) Patrick Omoumi, Alexis Ducarouge, Antoine Tournier et al. European Radiology	160
18	2020 ACR Data Science Institute Artificial Intelligence Survey Bibb Allen, Sheela Agarwal, Laura P. Coombs et al. Journal of the American College of Radiology	153
19	The use of SNOMED CT, 2013-2020: a literature review Eunsuk Chang, Javed Mostafa Journal of the American Medical Informatics Association	142
20	High-Pitch Photon-Counting Detector Computed Tomography Angiography of the Aorta André Euler, Kai Higashigaito, Victor Mergen et al. Investigative Radiology	141
21	Fund Black scientists Kelly R. Stevens, Kristyn S. Masters, P. I. Imoukhuede et al. Cell	140
22	Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study Loïc Duron, Alexis Ducarouge, André Gillibert et al. Radiology	140
23	An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education Merel Huisman, Erik Ranschaert, William Parker et al. European Radiology	130
24	Artificial Intelligence for Health Professions Educators Kimberly D. Lomis, Pamela R. Jeffries, Anthony Palatta et al. NAM Perspectives	124
25	Racial and Ethnic Differences in Emergency Department Diagnostic Imaging at US Children’s Hospitals, 2016-2019 Jennifer R. Marín, Jonathan Rodean, Matt Hall et al. JAMA Network Open	118
26	Narrowing the Gap: Imaging Disparities in Radiology Stephen Waite, Jinel Scott, Daria Colombo Radiology	118
27	Assessment and feedback methods in competency-based medical education Gerald B. Lee, Asriani Chiu Annals of Allergy Asthma & Immunology	117
28	The State of Point-of-Care Ultrasound Training in Undergraduate Medical Education: Findings From a National Survey Frances M. Russell, Bita Zakeri, Audrey Herbert et al. Academic Medicine	116
29	Changing Medical Education, Overnight: The Curricular Response to COVID-19 of Nine Medical Schools Andrew P. Binks, Renée J. LeClair, Joanne M. Willey et al. Teaching and Learning in Medicine	115
30	Patients’ experiences of the use of point-of-care ultrasound in general practice – a cross-sectional study Charles A. Andersen, John Brodersen, Torsten Rahbek Rudbæk et al. BMC Family Practice	113
31	Appropriate Use of Point-of-Care Ultrasonography in Patients With Acute Dyspnea in Emergency Department or Inpatient Settings: A Clinical Guideline From the American College of Physicians Amir Qaseem, Itziar Etxeandia‐Ikobaltzeta, Reem A. Mustafa et al. Annals of Internal Medicine	113
32	An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound Ankan Ghosh Dastider, Farhan Sadik, Shaikh Anowarul Fattah Computers in Biology and Medicine	106
33	Revisiting the Core Entrustable Professional Activities for Entering Residency Jonathan M. Amiel, Dorothy A. Andriole, Diane M. Biskobing et al. Academic Medicine	105
34	Ottawa 2020 consensus statement for programmatic assessment – 1. Agreement on the principles Sylvia Heeneman, Lubberta H. de Jong, Luke Dawson et al. Medical Teacher	105
35	Lung Ultrasound: The Essentials Thomas J. Marini, Deborah J. Rubens, Yu Zhao et al. Radiology Cardiothoracic Imaging	105
36	The utility of point of care ultrasonography (POCUS) Ahmed Hashim, Muhammad Junaid Tahir, Irfan Ullah et al. Annals of Medicine and Surgery	104
37	Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review Ling Yang, Ioana Cezara Ene, Reza Arabi Belaghi et al. European Radiology	103
38	Structured reporting in radiology: a systematic review to explore its potential J. Martijn Nobel, Koos van Geel, Simon G. F. Robben European Radiology	102
39	Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence Thomas C. Kwee, Robert M. Kwee Insights into Imaging	102
40	Diagnostic accuracy of point-of-care tests in acute community-acquired lower respiratory tract infections. A systematic review and meta-analysis Elisa Gentilotti, Pasquale De Nardo, Eleonora Cremonini et al. Clinical Microbiology and Infection	99
41	Artificial Intelligence for the Future Radiology Diagnostic Service Seong K. Mun, Kenneth H. Wong, Shih‐Chung B. Lo et al. Frontiers in Molecular Biosciences	97
42	Patients’ perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data Zhan Zhang, Daniel Citardi, Dakuo Wang et al. Health Informatics Journal	95
43	Application Fever: Reviewing the Causes, Costs, and Cures for Residency Application Inflation J. Bryan Carmody, Ilana S. Rosman, John C. Carlson Cureus	94
44	The augmented radiologist: artificial intelligence in the practice of radiology Erich Sorantin, Michael Georg Grasser, Ariane Hemmelmayr et al. Pediatric Radiology	94
45	Generalizability of deep learning models for dental image analysis Joachim Krois, Anselmo García Cantú Ros, Akhilanand Chaurasia et al. Scientific Reports	93
46	Signs and lines in lung ultrasound Rohit Bhoil, Ajay Ahluwalia, Rajesh Chopra et al. Journal of Ultrasonography	93
47	The Current Status of Ultrasound Education in United States Medical Schools Elizabeth Nicholas, Alan A. Ly, Anna M. Prince et al. Journal of Ultrasound in Medicine	89
48	Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification Marco La Salvia, Gianmarco Secco, Emanuele Torti et al. Computers in Biology and Medicine	84
49	Global point-of-care ultrasound education and training in the age of COVID-19 Onyinyechi Eke, Patricia C. Henwood, Grace Wanjiku et al. International Journal of Emergency Medicine	83
50	Professionals’ responses to the introduction of AI innovations in radiology and their implications for future adoption: a qualitative study Yaru Chen, Charitini Stavropoulou, Radhika Narasinkan et al. BMC Health Services Research	82

Top Papers: Radiologie (2021)

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