ChatGPT und die deutsche Facharztprüfung für Augenheilkunde: eine EvaluierungChatGPT and the German board examination for ophthalmology: an evaluation

被引：0

作者：

Rémi Yaïci ^{[1
]}

M. Cieplucha ^{[1
]}

R. Bock ^{[1
]}

F. Moayed ^{[1
]}

N. E. Bechrakis ^{[2
]}

P. Berens ^{[3
]}

N. Feltgen ^{[4
]}

D. Friedburg ^{[5
]}

M. Gräf ^{[6
]}

R. Guthoff ^{[1
]}

E. M. Hoffmann ^{[7
]}

H. Hoerauf ^{[8
]}

C. Hintschich ^{[9
]}

T. Kohnen ^{[10
]}

E. M. Messmer ^{[9
]}

M. M. Nentwich ^{[11
]}

U. Pleyer ^{[12
]}

U. Schaudig ^{[13
]}

B. Seitz ^{[14
]}

G. Geerling ^{[1
]}

M. Roth ^{[1
]}

机构：

[1] Heinrich-Heine Universität Düsseldorf,Klinik für Augenheilkunde, Medizinische Fakultät, Universitätsklinikum Düsseldorf

[2] Universitätsklinikum Essen,Augenklinik

[3] Hertie Institute for AI in Brain Health (Hertie AI),Augenklinik

[4] Universitätsspital Basel,Augenklinik

[5] Universitätsklinikum Gießen und Marburg,Augenklinik

[6] Universitätsklinikum Mainz,Augenklinik und Poliklinik, LMU Klinikum

[7] Universitätsklinikum Göttingen,Augenklinik

[8] Ludwigs-Maximilians-Universität München,Augenklinik

[9] Universitätsklinikum Frankfurt,Klinik für Augenheilkunde

[10] Universitätsklinikum Würzburg,undefined

[11] Charité – Universitätsmedizin Berlin,undefined

[12] Asklepios Klinik Barmbek,undefined

[13] Universitätsklinikum des Saarlandes,undefined

来源：

Die Ophthalmologie | 2024年 / 121卷 / 7期

关键词：

Künstliche Intelligenz; Medizin; Large Language Model; Offene Fragen; Subspezialität; Artificial intelligence; Medicine; Large Language Model; Open questions; Subspeciality;

D O I：

10.1007/s00347-024-02046-0

中图分类号：

学科分类号：

摘要：

引用

页码：554 / 564

页数：10

共 77 条

[1] Briganti G(2020)Artificial intelligence in medicine: today and tomorrow Front Med 7 27-2361
[2] Le Moine O(2018)Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care? J Arthroplasty 33 2358-226
[3] Bini SA(2023)ChatGPT: five priorities for research Nature 614 224-831
[4] Van Dis EA(2023)Artificial intelligence-based chatbot patient information on common retinal diseases using ChatGPT. Acta Ophthalmol (Copenh). 1 November 101 829-22
[5] Bollen J(2023)Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models Plos Digit Heal 2 e0000198-711
[6] Zuidema W(2023)How does ChatGPT perform on the United States medical licensing examination? The implications of large language models for medical education and knowledge assessment Jmir Med Educ 9 e45312-381
[7] van Rooij R(2023)ChatGPT passes German state examination in medicine with picture questions omitted Dtsch Ärztebl Int 120 21-0
[8] Bockting CL(2023)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 J Fr Ophtalmol 46 706-964
[9] Potapenko I(2019)The REDCap consortium: building an international community of software platform partners J Biomed Inform 95 103208-43
[10] Boberg-Ans LC(2009)Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support J Biomed Inform 42 377-undefined

← 1 2 3 4 5 6 7 8 →