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Top Papers: Radiologie (2024)

Die 50 meistzitierten Arbeiten zu Radiologie aus dem Jahr 2024 (von 2.554 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

Large Language Model Influence on Diagnostic Reasoning

Ethan Goh, Robert Gallo, Jason Hom et al.

JAMA Network Open

452
2

Basic Clinical Radiobiology

Michael C. Joiner, Albert van der KogeJ. l

239
3

GPT versus Resident Physicians — A Benchmark Based on Official Board Scores

Uriel Katz, Eran Cohen, Eliya Shachar et al.

NEJM AI

122
4

Collaboration between clinicians and vision–language models in radiology report generation

Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren et al.

Nature Medicine

119
5

Potential of GPT-4 for Detecting Errors in Radiology Reports: Implications for Reporting Accuracy

Roman Johannes Gertz, Thomas Dratsch, Alexander C. Bunck et al.

Radiology

119
6

Quantitative Evaluation of Large Language Models to Streamline Radiology Report Impressions: A Multimodal Retrospective Analysis

Rushabh Doshi, Kanhai Amin, P.K. Khosla et al.

Radiology

111
7

Understanding and Mitigating Bias in Imaging Artificial Intelligence

Ali S. Tejani, Yee S. Ng, Yin Xi et al.

Radiographics

100
8

Performance of an Open-Source Large Language Model in Extracting Information from Free-Text Radiology Reports

Bastien Le Guellec, Alexandre Lefèvre, Charlotte Geay et al.

Radiology Artificial Intelligence

93
9

Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study

Annessa Kernberg, Jeffrey A. Gold, Vishnu Mohan

Journal of Medical Internet Research

91
10

Large language models for structured reporting in radiology: past, present, and future

Felix Busch, Lena Hoffmann, Daniel Santos et al.

European Radiology

84
11

Harnessing the potential of large language models in medical education: promise and pitfalls

Trista M. Benítez, Yueyuan Xu, J. Donald Boudreau et al.

Journal of the American Medical Informatics Association

83
12

BI-RADS Category Assignments by GPT-3.5, GPT-4, and Google Bard: A Multilanguage Study

Andrea Cozzi, Katja Pinker, Andri Hidber et al.

Radiology

76
13

Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

Insights into Imaging

73
14

Artificial Intelligence and Healthcare Simulation: The Shifting Landscape of Medical Education

Allan J. Hamilton

Cureus

72
15

Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting

Jiwoo Park, Kangrok Oh, Kyunghwa Han et al.

Scientific Reports

68
16

Evaluation of Reliability, Repeatability, Robustness, and Confidence of GPT-3.5 and GPT-4 on a Radiology Board–style Examination

Satheesh Krishna, Nishaant Bhambra, Robert Bleakney et al.

Radiology

68
17

Large Language Models for Automated Synoptic Reports and Resectability Categorization in Pancreatic Cancer

Rajesh Bhayana, Bipin Nanda, Taher Dehkharghanian et al.

Radiology

68
18

Effects of artificial intelligence implementation on efficiency in medical imaging—a systematic literature review and meta-analysis

Katharina Wenderott, Jim Krups, Fiona Zaruchas et al.

npj Digital Medicine

68
19

AI education for clinicians

Tim Schubert, Tim Oosterlinck, Robert D. Stevens et al.

EClinicalMedicine

62
20

Comparing the Diagnostic Performance of GPT-4-based ChatGPT, GPT-4V-based ChatGPT, and Radiologists in Challenging Neuroradiology Cases

Daisuke Horiuchi, Hiroyuki Tatekawa, Tatsushi Oura et al.

Clinical Neuroradiology

58
21

Optimizing radiation safety in dentistry

Erika Benavides, Joseph R. Krecioch, Roger T. Connolly et al.

The Journal of the American Dental Association

58
22

Short-Term Strategies for Augmenting the National Radiologist Workforce

James V. Rawson, Dana Smetherman, Eric Rubin

American Journal of Roentgenology

56
23

Generative Large Language Models for Detection of Speech Recognition Errors in Radiology Reports

Reuben Schmidt, Jarrel Seah, Ke Cao et al.

Radiology Artificial Intelligence

56
24

Constructing a Large Language Model to Generate Impressions from Findings in Radiology Reports

Lu Zhang, Mingqian Liu, Lingyun Wang et al.

Radiology

56
25

ChatGPT to generate clinical vignettes for teaching and multiple-choice questions for assessment: A randomized controlled experiment

Özlem Çoşkun, Yavuz Selim Kıyak, Işıl İrem Budakoğlu

Medical Teacher

54
26

Precision Education: The Future of Lifelong Learning in Medicine

Sanjay V. Desai, Jesse Burk‐Rafel, Kimberly D. Lomis et al.

Academic Medicine

53
27

Art or Artifact: Evaluating the Accuracy, Appeal, and Educational Value of AI-Generated Imagery in DALL·E 3 for Illustrating Congenital Heart Diseases

Mohamad‐Hani Temsah, Abdullah Alhuzaimi, Mohammed Almansour et al.

Journal of Medical Systems

53
28

Creating virtual patients using large language models: scalable, global, and low cost

David A. Cook

Medical Teacher

53
29

Translating musculoskeletal radiology reports into patient-friendly summaries using ChatGPT-4

Ian J. Kuckelman, Karla Wetley, Paul H. Yi et al.

Skeletal Radiology

51
30

ChatGPT’s diagnostic performance based on textual vs. visual information compared to radiologists’ diagnostic performance in musculoskeletal radiology

Daisuke Horiuchi, Hiroyuki Tatekawa, Tatsushi Oura et al.

European Radiology

49
31

ChatGPT and assistive AI in structured radiology reporting: A systematic review

Ethan Sacoransky, Benjamin Y. M. Kwan, Donald Soboleski

Current Problems in Diagnostic Radiology

48
32

Advancement in pleura effusion diagnosis: a systematic review and meta-analysis of point-of-care ultrasound versus radiographic thoracic imaging

Hany A Zaki, Bilal Albaroudi, Eman E. Shaban et al.

The Ultrasound Journal

47
33

Medical education and physician training in the era of artificial intelligence

Yueyuan Xu, Zehua Jiang, Daniel Shu Wei Ting et al.

Singapore Medical Journal

47
34

GPT-4 Turbo with Vision fails to outperform text-only GPT-4 Turbo in the Japan Diagnostic Radiology Board Examination

Yuichiro Hirano, Shouhei Hanaoka, Takahiro Nakao et al.

Japanese Journal of Radiology

47
35

Evaluating the Effectiveness of advanced large language models in medical Knowledge: A Comparative study using Japanese national medical examination

Mingxin Liu, Tsuyoshi Okuhara, Zhehao Dai et al.

International Journal of Medical Informatics

47
36

Large Language Models as Tools to Generate Radiology Board-Style Multiple-Choice Questions

Neel Mistry, Huzaifa Saeed, Sidra Rafique et al.

Academic Radiology

46
37

Transforming free-text radiology reports into structured reports using ChatGPT: A study on thyroid ultrasonography

Huan Jiang, Shujun Xia, Yixuan Yang et al.

European Journal of Radiology

45
38

A holistic approach to implementing artificial intelligence in radiology

Bomi Kim, Stephan R. Romeijn, Mark A. van Buchem et al.

Insights into Imaging

45
39

More Tethered to the EHR: EHR Workload Trends Among Academic Primary Care Physicians, 2019-2023

Brian Arndt, Mark A. Micek, Adam Rule et al.

The Annals of Family Medicine

45
40

Performance of ChatGPT on Ophthalmology-Related Questions Across Various Examination Levels: Observational Study

Firas Haddad, Joanna S Saade

JMIR Medical Education

44
41

Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

Marieke van Buchem, Ilse Kant, L.A. King † et al.

JMIR AI

44
42

A novel reporting workflow for automated integration of artificial intelligence results into structured radiology reports

Tobias Jorg, Moritz C. Halfmann, Fabian Stoehr et al.

Insights into Imaging

44
43

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

Canadian Association of Radiologists Journal

43
44

ChatGPT as a Tool for Medical Education and Clinical Decision-Making on the Wards: Case Study

Anthony Skryd, Katharine Lawrence

JMIR Formative Research

43
45

Performance of GPT-4 with Vision on Text- and Image-based ACR Diagnostic Radiology In-Training Examination Questions

Nolan Hayden, Spencer Gilbert, Laila Poisson et al.

Radiology

42
46

Integrating and Adopting AI in the Radiology Workflow: A Primer for Standards and Integrating the Healthcare Enterprise (IHE) Profiles

Ali S. Tejani, Tessa S. Cook, Mohannad Hussain et al.

Radiology

40
47

Using <scp>GPT</scp>‐4 for <scp>LI‐RADS</scp> feature extraction and categorization with multilingual free‐text reports

Kyowon Gu, Jeong Hyun Lee, Jaeseung Shin et al.

Liver International

39
48

The current troubled state of the global pathology workforce: a concise review

Elizabeth Walsh, Nicolas M. Orsi

Diagnostic Pathology

39
49

Grading by AI makes me feel fairer? How different evaluators affect college students’ perception of fairness

Fangyuan Chai, Jiajia Ma, Yi Wang et al.

Frontiers in Psychology

39
50

From jargon to clarity: Improving the readability of foot and ankle radiology reports with an artificial intelligence large language model

James J. Butler, Michael Harrington, Yixuan Tong et al.

Foot and Ankle Surgery

38

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