Michael Alfertshofer

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

2023 · 154 Zit. · European Archives of Oto-Rhino-Laryngology

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

2023 · 60 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 · 50 Zit. · JMIR Medical Education

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

2024 · 46 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 · 27 Zit. · Scientific Reports

Turn Your Vision into Reality—AI-Powered Pre-operative Outcome Simulation in Rhinoplasty Surgery

2024 · 19 Zit. · Aesthetic Plastic Surgery

Modern Machiavelli? The illusion of ChatGPT-generated patient reviews in plastic and aesthetic surgery based on 9000 review classifications

2023 · 18 Zit. · Journal of Plastic Reconstructive & Aesthetic Surgery

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

2024 · 10 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 · 6 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.