Top Papers: Radiologie (2025)

Die 50 meistzitierten Arbeiten zu Radiologie aus dem Jahr 2025 (von 1.491 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.

2023 2024 2025 2026

#	Paper	Zitationen
1	Radiologic Technology Radiologic technology	278
2	A systematic review of the impact of artificial intelligence on educational outcomes in health professions education Eva Feigerlová, Hind Hani, Ellie Hothersall-Davies BMC Medical Education	74
3	Foundation Models in Radiology: What, How, Why, and Why Not Magdalini Paschali, Zhihong Chen, Louis Blankemeier et al. Radiology	58
4	Physician- and Large Language Model–Generated Hospital Discharge Summaries Christopher Y. K. Williams, Charumathi Raghu Subramanian, Syed Salman Ali et al. JAMA Internal Medicine	56
5	Trust in Artificial Intelligence–Based Clinical Decision Support Systems Among Health Care Workers: Systematic Review Hein Minn Tun, Hanif Abdul Rahman, Lin Naing et al. Journal of Medical Internet Research	51
6	Artificial Intelligence in Health Professions Education assessment: AMEE Guide No. 178 Ken Masters, Heather MacNeill, Jennifer Benjamin et al. Medical Teacher	36
7	Artificial Intelligence in Medical Education: Transforming Learning and Practice Arram Sriram, Kalpana Ramachandran, Sriram Krishnamoorthy Cureus	35
8	Artificial Intelligence–Guided Lung Ultrasound by Nonexperts Cristiana Baloescu, John Bailitz, Baljash Cheema et al. JAMA Cardiology	35
9	Open-Source Large Language Models in Radiology: A Review and Tutorial for Practical Research and Clinical Deployment Cody Savage, Adway Kanhere, Vishwa S. Parekh et al. Radiology	30
10	The Growing Nationwide Radiologist Shortage: Current Opportunities and Ongoing Challenges for International Medical Graduate Radiologists Sohrab Afshari Mirak, Sree Harsha Tirumani, Nikhil H. Ramaiya et al. Radiology	29
11	Leveraging Large Language Models to Generate Clinical Histories for Oncologic Imaging Requisitions Rajesh Bhayana, Omar Alwahbi, Aly Muhammad Ladak et al. Radiology	28
12	Talk is cheap: why structural assessment changes are needed for a time of GenAI Thomas Corbin, Phillip Dawson, Danny Liu Assessment & Evaluation in Higher Education	27
13	Efficiency and Quality of Generative AI–Assisted Radiograph Reporting Jonathan Huang, Matthew T. Wittbrodt, Caitlin N. Teague et al. JAMA Network Open	26
14	Projected US Radiologist Supply, 2025 to 2055 Eric Christensen, Jay R. Parikh, A. J. Drake et al. Journal of the American College of Radiology	25
15	Performance of DeepSeek-R1 and ChatGPT-4o on the Chinese National Medical Licensing Examination: A Comparative Study Jin Wu, Zhiheng Wang, Yifan Qin Journal of Medical Systems	25
16	Large language models for error detection in radiology reports: a comparative analysis between closed-source and privacy-compliant open-source models Babak Salam, Claire Stüwe, Sebastian Nowak et al. European Radiology	24
17	Advancements in artificial intelligence transforming medical education: a comprehensive overview Aliasghar Khakpaki Medical Education Online	23
18	Use of ChatGPT Large Language Models to Extract Details of Recommendations for Additional Imaging From Free-Text Impressions of Radiology Reports K Li, Ronilda Lacson, Jeffrey P. Guenette et al. American Journal of Roentgenology	21
19	Is AI the future of evaluation in medical education?? AI vs. human evaluation in objective structured clinical examination Murat Tekïn, Mustafa Onur Yurdal, Çetin Toraman et al. BMC Medical Education	21
20	Situating governance and regulatory concerns for generative artificial intelligence and large language models in medical education Michael Tran, Chinthaka Balasooriya, Jitendra Jonnagaddala et al. npj Digital Medicine	20
21	Large-Scale Validation of the Feasibility of GPT-4 as a Proofreading Tool for Head CT Reports Songsoo Kim, Donghyun Kim, Hyun Joo Shin et al. Radiology	20
22	The need for balancing ’black box’ systems and explainable artificial intelligence: A necessary implementation in radiology Fabio De‐Giorgio, Beatrice Benedetti, Matteo Mancino et al. European Journal of Radiology	19
23	Radiology-GPT: A large language model for radiology Zhengliang Liu, Yiwei Li, Peng Shu et al. Meta-Radiology	18
24	Guidelines and recommendations for radiologist staffing, education and training Adrian P. Brady, Christian Loewe, Boris Brkljačić et al. Insights into Imaging	18
25	Integration of artificial intelligence in radiology education: a requirements survey and recommendations from faculty radiologists, residents, and medical students LI Rui-li, Guang‐Xue Liu, Miao Zhang et al. BMC Medical Education	18
26	From technology adopters to creators: Leveraging AI-assisted vibe coding to transform clinical teaching and learning Minyang Chow, Olivia Ng Medical Teacher	18
27	Randomized Study of the Impact of AI on Perceived Legal Liability for Radiologists Michael H. Bernstein, Brian Sheppard, Michael A. Bruno et al. NEJM AI	18
28	The future of radiology: The path towards multimodal AI and superdiagnostics Felix Nensa European Journal of Radiology Artificial Intelligence	17
29	Integrating artificial intelligence into medical education: a roadmap informed by a survey of faculty and students Maria A. Blanco, Sara W. Nelson, Saradha Ramesh et al. Medical Education Online	17
30	The Integration of Cone Beam Computed Tomography, Artificial Intelligence, Augmented Reality, and Virtual Reality in Dental Diagnostics, Surgical Planning, and Education: A Narrative Review Aida Meto, Gerta Halilaj Applied Sciences	17
31	A survey of deep-learning-based radiology report generation using multimodal inputs Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li et al. Medical Image Analysis	17
32	Comparison between multimodal foundation models and radiologists for the diagnosis of challenging neuroradiology cases with text and images Bastien Le Guellec, Cyril Bruge, Najib Chalhoub et al. Diagnostic and Interventional Imaging	17
33	Optimizing Large Language Models in Radiology and Mitigating Pitfalls: Prompt Engineering and Fine-tuning T. Kim, Michael Makutonin, Reza Sirous et al. Radiographics	17
34	AI Applications for Thoracic Imaging: Considerations for Best Practice Eui Jin Hwang, Jin Mo Goo, Chang Min Park Radiology	16
35	Evaluation of a Clinical Decision Support System for Imaging Requests Stijntje Dijk, Claudia Wollny, Jörg Barkhausen et al. JAMA	16
36	Diagnoses supported by a computerised diagnostic decision support system versus conventional diagnoses in emergency patients (DDX-BRO): a multicentre, multiple-period, double-blind, cluster-randomised, crossover superiority trial Wolf E. Hautz, Thimo Marcin, Stefanie C. Hautz et al. The Lancet Digital Health	16
37	Large Language Models in radiology: A technical and clinical perspective Jean Kao, Hung‐Wen Kao European Journal of Radiology Artificial Intelligence	15
38	Recognising errors in AI implementation in radiology: A narrative review Nikolaos Stogiannos, Renato Cuocolo, Tugba Akinci D’Antonoli et al. European Journal of Radiology	15
39	Current applications and future perspectives of extended reality in radiology Mario Tortora, André Luppi, Francesco Pacchiano et al. La radiologia medica	15
40	Automated classification of chest X-rays: a deep learning approach with attention mechanisms Burcu Oltu, Selda Güney, Seniha Esen Yüksel et al. BMC Medical Imaging	15
41	Intersections of Ergonomics and Radiation Safety in Interventional Radiology Halil SOYAL, Menşure Canpolat International Journal of Sustainable Science and Technology	15
42	The relationships of personality traits on perceptions and attitudes of dentistry students towards AI Furkan Özbey, Yasin Yaşa BMC Medical Education	15
43	Artificial intelligence in radiology: 173 commercially available products and their scientific evidence Noa J.C. Antonissen, Olga Tryfonos, Ignas B. Houben et al. European Radiology	14
44	Provision of Radiology Reports Simplified With Large Language Models to Patients With Cancer: Impact on Patient Satisfaction Amit Gupta, Swarndeep Singh, Hema Malhotra et al. JCO Clinical Cancer Informatics	14
45	Improving Explainability and Integrability of Medical AI to Promote Health Care Professional Acceptance and Use: Mixed Systematic Review Yitong Liu, Chenxi Liu, Jianing Zheng et al. Journal of Medical Internet Research	14
46	Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study Xiongwen Yang, Yi Xiao, D. Liu et al. Journal of Medical Internet Research	13
47	Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs Thiago Fellipe Ortiz de Camargo, Guilherme Ribeiro, Maria Carolina Bueno da Silva et al. Frontiers in Artificial Intelligence	13
48	Upskilling or deskilling? Measurable role of an AI-supported training for radiology residents: a lesson from the pandemic Mattia Savardi, Alberto Signoroni, Sergio Benini et al. Insights into Imaging	13
49	The role of AI in mitigating the impact of radiologist shortages: a systematised review Nebil Achour, Tomas Zapata, Yousef Saleh et al. Health and Technology	13
50	AI in radiography education: Evaluating multiple-choice questions difficulty and discrimination Emre Emekli, Betül Nalan Karahan Journal of medical imaging and radiation sciences	13

Top Papers: Radiologie (2025)

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