Top Papers: Radiologie (2022)

Die 50 meistzitierten Arbeiten zu Radiologie aus dem Jahr 2022 (von 2.402 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.

2020 2021 2022 2023

#	Paper	Zitationen
1	The evaluation of an evidence-based model of feedback implemented on an undergraduate dental clinical learning environment Siobhan Davis, Brett Duane, Andrew Loxley et al. BMC Medical Education	482
2	Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning Ekin Tiu, Ellie Talius, Pujan R. Patel et al. Nature Biomedical Engineering	357
3	Artificial intelligence in medical education: a cross-sectional needs assessment Murat Civaner, Yeşim Uncu, Filiz BULUT et al. BMC Medical Education	307
4	New International Guidelines and Consensus on the Use of Lung Ultrasound Libertario Demi, Frank Wolfram, Catherine Klersy et al. Journal of Ultrasound in Medicine	306
5	Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis Rachel Kuo, Conrad Harrison, Terry‐Ann Curran et al. Radiology	288
6	Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency Jong Seok Ahn, Shadi Ebrahimian, Shaunagh McDermott et al. JAMA Network Open	125
7	Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How? Dania Daye, Walter F. Wiggins, Matthew P. Lungren et al. Radiology	121
8	Mandating Limits on Workload, Duty, and Speed in Radiology Robert G. Alexander, Stephen Waite, Michael A. Bruno et al. Radiology	118
9	Bridging the chasm between AI and clinical implementation Angela Aristidou, R. Jena, Eric J. Topol The Lancet	113
10	International consensus conference recommendations on ultrasound education for undergraduate medical students Richard Hoppmann, Jeanette Mladenovic, Lawrence A. Melniker et al. The Ultrasound Journal	110
11	Patient Exposure from Radiologic and Nuclear Medicine Procedures in the United States and Worldwide: 2009–2018 Mahadevappa Mahesh, Armin Ansari, Fred A. Mettler Radiology	110
12	Task shifting for point of care ultrasound in primary healthcare in low- and middle-income countries-a systematic review Seth Kofi Abrokwa, Lisa Ruby, Charlotte C. Heuvelings et al. EClinicalMedicine	106
13	IEViT: An enhanced vision transformer architecture for chest X-ray image classification Gabriel Iluebe Okolo, Stamos Katsigiannis, Naeem Ramzan Computer Methods and Programs in Biomedicine	99
14	Assessment Methods in Medical Ultrasound Education Elena Höhne, Florian Recker, Christoph F. Dietrich et al. Frontiers in Medicine	97
15	Evaluation of antenatal Point-of-Care Ultrasound (PoCUS) training: a systematic review Amber Bidner, Eva Bezak, Nayana Parange Medical Education Online	92
16	Organizational, professional, and patient characteristics associated with artificial intelligence adoption in healthcare: A systematic review Ahmad Khanijahani, Shabnam Iezadi, Sage Dudley et al. Health Policy and Technology	92
17	Deep Learning for Detection of Periapical Radiolucent Lesions: A Systematic Review and Meta-analysis of Diagnostic Test Accuracy Soroush Sadr, Hossein Mohammad‐Rahimi, Saeed Reza Motamedian et al. Journal of Endodontics	88
18	Advances in e-learning in undergraduate clinical medicine: a systematic review Thilini Delungahawatta, S Dunne, Simon Hyde et al. BMC Medical Education	87
19	Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis Sheng Wang, Xi Ouyang, Tianming Liu et al. IEEE Transactions on Medical Imaging	87
20	Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography Muhammad Usman, Tehseen Zia, Syed Ali Tariq Journal of Digital Imaging	84
21	Student evaluations of teaching and the development of a comprehensive measure of teaching effectiveness for medical schools Constantina Constantinou, Marjo Wijnen‐Meijer BMC Medical Education	84
22	Artificial intelligence in emergency radiology: A review of applications and possibilities Benjamin D. Katzman, Christian B. van der Pol, Philippe Soyer et al. Diagnostic and Interventional Imaging	83
23	Ultrasound findings of lung ultrasonography in COVID-19: A systematic review Jaime Gil-Rodríguez, Javier Rojas, Pablo Aranda-Laserna et al. European Journal of Radiology	80
24	Adopting artificial intelligence in dental education: A model for academic leadership and innovation Nadim Islam, Lory Laughter, Ramtin Sadid‐Zadeh et al. Journal of Dental Education	76
25	Trend in radiologist workload compared to number of admissions in the emergency department Christine Dan Lantsman, Yiftach Barash, Eyal Klang et al. European Journal of Radiology	73
26	Artificial intelligence vs. radiologist: accuracy of wrist fracture detection on radiographs Mathieu Cohen, Julien Puntonet, J Fernández Sánchez et al. European Radiology	67
27	Patient communication in radiology: Moving up the agenda Andrea Rockall, Caroline Justich, Thomas H. Helbich et al. European Journal of Radiology	67
28	Is Artificial Intelligence (AI) a Pipe Dream? Why Legal Issues Present Significant Hurdles to AI Autonomy Jonathan L. Mezrich American Journal of Roentgenology	66
29	Telehealth Competencies in Medical Education: New Frontiers in Faculty Development and Learner Assessments Craig Noronha, Margaret C. Lo, Tanya Nikiforova et al. Journal of General Internal Medicine	66
30	Diversity in Radiology: Current Status and Trends Over the Past Decade Xiao Wu, Suryansh Bajaj, Mihir Khunte et al. Radiology	65
31	Commonly Missed Findings on Chest Radiographs Warren B. Gefter, Benjamin A. Post, Hiroto Hatabu CHEST Journal	65
32	Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow Lisa Canoni-Meynet, Pierre Verdot, Alexis Danner et al. Diagnostic and Interventional Imaging	64
33	Prevalence and Sources of Duplicate Information in the Electronic Medical Record Jackson Steinkamp, Jacob Kantrowitz, Subha Airan‐Javia JAMA Network Open	64
34	Dose Reduction and Image Quality in Photon-counting Detector High-resolution Computed Tomography of the Chest Dirk Graafen, Tilman Emrich, Moritz C. Halfmann et al. Journal of Thoracic Imaging	64
35	On the Opportunities and Risks of Foundation Models for Natural Language Processing in Radiology Walter F. Wiggins, Ali S. Tejani Radiology Artificial Intelligence	64
36	Self-assessment: With all its limitations, why are we still measuring and teaching it? Lessons from a scoping review Natasha Yates, Suzanne Gough, Victoria Brazil Medical Teacher	63
37	Five strategies for clinicians to advance diagnostic excellence Hardeep Singh, Denise M. Connor, Gurpreet Dhaliwal BMJ	62
38	The assessment of image quality and diagnostic value in X-ray images: a survey on radiographers’ reasons for rejecting images Elin Kjelle, Catherine Chilute Chilanga Insights into Imaging	62
39	Meta-Analysis of Point-of-Care Lung Ultrasonography Versus Chest Radiography in Adults With Symptoms of Acute Decompensated Heart Failure Leonard Chiu, Meghan P. Jairam, Ronald Chow et al. The American Journal of Cardiology	61
40	Pathology Education Powered by Virtual and Digital Transformation: Now and the Future Lewis Hassell, Syeda Absar, Chhavi Chauhan et al. Archives of Pathology & Laboratory Medicine	61
41	Applications and challenges of artificial intelligence in diagnostic and interventional radiology Joseph Waller, A. D. O'Connor, Eleeza Raafat et al. Polish Journal of Radiology	61
42	Improved Productivity Using Deep Learning–assisted Reporting for Lumbar Spine MRI Desmond Shi Wei Lim, Andrew Makmur, Lei Zhu et al. Radiology	61
43	The role of radiologist in the changing world of healthcare: a White Paper of the European Society of Radiology (ESR) European Society of Radiology, Adrian P. Brady, Regina G. Beets-Tan et al. Insights into Imaging	60
44	The use of artificial intelligence and virtual reality in doctor-patient risk communication: A scoping review Ryan Antel, Samira Abbasgholizadeh Rahimi, Elena Guadagno et al. Patient Education and Counseling	60
45	Artificial Intelligence and Radiology Education Ali S. Tejani, Hesham Elhalawani, Linda Moy et al. Radiology Artificial Intelligence	59
46	Natural Language Processing in Radiology: Update on Clinical Applications Pilar López‐Úbeda, Teodoro Martín‐Noguerol, Krishna Juluru et al. Journal of the American College of Radiology	59
47	Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists Toan Nguyen, Richard Maarek, Anne-Laure Hermann et al. Pediatric Radiology	59
48	Evaluation of antenatal point-of-care ultrasound training workshops for rural/remote healthcare clinicians: a prospective single cohort study Amber Bidner, Eva Bezak, Nayana Parange BMC Medical Education	59
49	Radiation Dose Reduction in Contrast-Enhanced Abdominal CT: Comparison of Photon-Counting Detector CT with 2nd Generation Dual-Source Dual-Energy CT in an oncologic cohort Robin Wrazidlo, Lukas Walder, Arne Estler et al. Academic Radiology	58
50	Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs James Hillis, Bernardo C. Bizzo, Sarah Mercaldo et al. JAMA Network Open	57

Top Papers: Radiologie (2022)

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