Michael Alfertshofer

ChatGPT’s quiz skills in different otolaryngology subspecialties: an analysis of 2576 single-choice and multiple-choice board certification preparation questions

2023 · 149 Zit. · European Archives of Oto-Rhino-Laryngology

Sailing the Seven Seas: A Multinational Comparison of ChatGPT’s Performance on Medical Licensing Examinations

2023 · 59 Zit. · Annals of Biomedical Engineering

Pure Wisdom or Potemkin Villages? A Comparison of ChatGPT 3.5 and ChatGPT 4 on USMLE Step 3 Style Questions: Quantitative Analysis

2024 · 48 Zit. · JMIR Medical Education

ChatGPT’s Response Consistency: A Study on Repeated Queries of Medical Examination Questions

2024 · 43 Zit. · European Journal of Investigation in Health Psychology and Education

In-depth analysis of ChatGPT’s performance based on specific signaling words and phrases in the question stem of 2377 USMLE step 1 style questions

2024 · 23 Zit. · Scientific Reports

Analyzing Question Characteristics Influencing ChatGPT’s Performance in 3000 USMLE®-Style Questions

2024 · 8 Zit. · Medical Science Educator

The law code of ChatGPT and artificial intelligence—how to shield plastic surgeons and reconstructive surgeons against Justitia's sword

2024 · 4 Zit. · Frontiers in Surgery

Harnessing advanced large language models in otolaryngology board examinations: an investigation using python and application programming interfaces

2025 · 0 Zit. · European Archives of Oto-Rhino-Laryngology

Pure Wisdom or Potemkin Villages? A Comparison of ChatGPT 3.5 and ChatGPT 4 on USMLE Step 3 Style Questions: Quantitative Analysis (Preprint)

2023 · 0 Zit.