Top Papers: Radiologie (2023)

Die 50 meistzitierten Arbeiten zu Radiologie aus dem Jahr 2023 (von 2.511 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.

2021 2022 2023 2024

#	Paper	Zitationen
1	ChatGPT and the Future of Medical Writing Som Biswas Radiology	578
2	Performance of ChatGPT on a Radiology Board-style Examination: Insights into Current Strengths and Limitations Rajesh Bhayana, Satheesh Krishna, Robert Bleakney Radiology	445
3	Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review Carl Preiksaitis, Christian Rose JMIR Medical Education	351
4	Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study Lisa C. Adams, Daniel Truhn, Felix Busch et al. Radiology	310
5	Performance of GPT-3.5 and GPT-4 on the Japanese Medical Licensing Examination: Comparison Study Soshi Takagi, Takashi Watari, Ayano Erabi et al. JMIR Medical Education	285
6	Academic integrity and artificial intelligence: is ChatGPT hype, hero or heresy? Geoffrey Currie Seminars in Nuclear Medicine	246
7	Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158 Ken Masters Medical Teacher	236
8	Diagnostic and Interventional Radiology Nigel A.J. McMillan —	208
9	Evaluating GPT4 on Impressions Generation in Radiology Reports Zhaoyi Sun, Hanley Ong, Patrick Kennedy et al. Radiology	145
10	Perception, performance, and detectability of conversational artificial intelligence across 32 university courses Hazem Ibrahim, Fengyuan Liu, Rohail Asim et al. Scientific Reports	142
11	Artificial Intelligence Revolutionizing the Field of Medical Education Suresh Narayanan, R Rajprasath, Elantamilan Durairaj et al. Cureus	137
12	AI in Medical Education: Global situation, effects and challenges Wei Zhang, Mingxuan Cai, Hong Joo Lee et al. Education and Information Technologies	132
13	Improving chest X-ray report generation by leveraging warm starting Aaron Nicolson, Jason Dowling, Bevan Koopman Artificial Intelligence in Medicine	132
14	Potential Use Cases for ChatGPT in Radiology Reporting Asser Abou Elkassem, Andrew D. Smith American Journal of Roentgenology	131
15	GPT-4 for Automated Determination of Radiologic Study and Protocol Based on Radiology Request Forms: A Feasibility Study Roman Johannes Gertz, Alexander C. Bunck, Simon Lennartz et al. Radiology	124
16	Ultrasound Guidelines: Emergency, Point-of-Care, and Clinical Ultrasound Guidelines in Medicine Annals of Emergency Medicine	123
17	Accuracy of Information and References Using ChatGPT-3 for Retrieval of Clinical Radiological Information Matthias Wagner, Birgit Ertl‐Wagner Canadian Association of Radiologists Journal	122
18	Lung ultrasound in acute and chronic heart failure: a clinical consensus statement of the European Association of Cardiovascular Imaging (EACVI) Luna Gargani, Nicolas Girerd, Elke Platz et al. European Heart Journal - Cardiovascular Imaging	120
19	Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography Michael H. Bernstein, Michael K. Atalay, Elizabeth H. Dibble et al. European Radiology	115
20	Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports Hanzhou Li, John T. Moon, Deepak Iyer et al. Clinical Imaging	112
21	Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review Tjorven Stamer, Jost Steinhäuser, Kristina Flägel Journal of Medical Internet Research	110
22	The fundamentals of Artificial Intelligence in medical education research: AMEE Guide No. 156 Martin G. Tolsgaard, Martin Pusic, Stefanie S. Sebok‐Syer et al. Medical Teacher	109
23	Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports Pritam Mukherjee, Benjamin Hou, Ricardo Bigolin Lanfredi et al. Radiology	105
24	Comparative performance of humans versus GPT-4.0 and GPT-3.5 in the self-assessment program of American Academy of Ophthalmology Andrea Taloni, Massimiliano Borselli, Valentina Scarsi et al. Scientific Reports	105
25	ChatGPT in Radiology: The Advantages and Limitations of Artificial Intelligence for Medical Imaging Diagnosis Samriddhi Srivastav, Rashi Chandrakar, Shalvi Gupta et al. Cureus	101
26	Clinical applications of artificial intelligence in radiology Claudia Mello‐Thoms, C.A.B. Mello British Journal of Radiology	101
27	Feasibility of Differential Diagnosis Based on Imaging Patterns Using a Large Language Model Jonathan Kottlors, Grischa Bratke, Philip Rauen et al. Radiology	97
28	Accuracy of ChatGPT, Google Bard, and Microsoft Bing for Simplifying Radiology Reports Kanhai Amin, Melissa Davis, Rushabh Doshi et al. Radiology	94
29	Artificial Intelligence and Automation in Human Resource Development: A Systematic Review Kelechi Ekuma Human Resource Development Review	93
30	Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review David Hua, Neysa Petrina, Noel Young et al. Artificial Intelligence in Medicine	85
31	ChatGPT-4 Assistance in Optimizing Emergency Department Radiology Referrals and Imaging Selection Yiftach Barash, Eyal Klang, Eli Konen et al. Journal of the American College of Radiology	82
32	Are physicians and medical students ready for artificial intelligence applications in healthcare? Adhari AlZaabi, Saleh AlMaskari, Abdulrahman AalAbdulsalam Digital Health	80
33	Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing Carlo Augusto Mallio, Andrea Carlomaria Sertorio, Caterina Bernetti et al. La radiologia medica	80
34	MRI scarcity in low‐ and middle‐income countries Mohammad Jalloul, Monica Miranda‐Schaeubinger, Abass M. Noor et al. NMR in Biomedicine	80
35	Using AI to Improve Radiologist Performance in Detection of Abnormalities on Chest Radiographs Souhail Bennani, Nor-Eddine Regnard, Jeanne Ventre et al. Radiology	79
36	Evaluating the performance of Generative Pre-trained Transformer-4 (GPT-4) in standardizing radiology reports A Hasani, Shiva M. Singh, Aryan Zahergivar et al. European Radiology	78
37	The Potential Usefulness of ChatGPT in Oral and Maxillofacial Radiology Jyoti Mago, Manoj Kumar Cureus	75
38	Automatic documentation of professional health interactions: A systematic review Frederico Soares Falcetta, Fernando Kude de Almeida, Janaína Lemos et al. Artificial Intelligence in Medicine	72
39	Success of ChatGPT, an AI language model, in taking the French language version of the European Board of Ophthalmology examination: A novel approach to medical knowledge assessment Christophe Panthier, Damien Gatinel Journal Français d Ophtalmologie	70
40	Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT Laurens Topff, Erik Ranschaert, Annemarieke Bartels‐Rutten et al. Radiology Cardiothoracic Imaging	69
41	Applications of Artificial Intelligence in the Radiology Roundtrip: Process Streamlining, Workflow Optimization, and Beyond Kevin Pierre, Adam G. Haneberg, Sean Kwak et al. Seminars in Roentgenology	68
42	Explainable Transfer Learning‐Based Deep Learning Model for Pelvis Fracture Detection Mohamed A. Kassem, Soaad M. Naguib, Hanaa M. Hamza et al. International Journal of Intelligent Systems	66
43	Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey Lorenzo Cobianchi, Daniele Piccolo, Francesca Dal Mas et al. World Journal of Emergency Surgery	65
44	Feedback in Medical Education: An Evidence-based Guide to Best Practices from the Council of Residency Directors in Emergency Medicine Sreeja Natesan, Jaime Jordan, Alexander Y. Sheng et al. Western Journal of Emergency Medicine	65
45	Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion Louis Lind Plesner, F. Müller, Mathias W. Brejnebøl et al. Radiology	63
46	The dangers of using large language models for peer review Tjibbe Donker The Lancet Infectious Diseases	61
47	How to establish and use local diagnostic reference levels: an ESR EuroSafe Imaging expert statement John Damilakis, Guy Frija, Boris Brkljačić et al. Insights into Imaging	61
48	JMIR Med Inform McLennan, Stuart, Strech, Daniel, Meyer, Andrea et al. JMIR Medical Informatics	61
49	Impact of Magnetic Resonance Imaging on Healthcare in Low- and Middle-Income Countries Bander S Hilabi, Sami A. Alghamdi, Mansour Almanaa Cureus	60
50	Undergraduate ultrasound training: prospective comparison of two different peer assisted course models on national standards Johannes Weimer, Anna Dionysopoulou, Kai-Uwe Strelow et al. BMC Medical Education	59

Top Papers: Radiologie (2023)

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