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ChatGPT is an above-average student at the Faculty of Medicine and the development of teaching materials: Comment.
Rev Esp Patol
January 2025
Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, India.
Evaluation of ChatGPT-4o's answers to questions about hip arthroscopy from the patient perspective.
Jt Dis Relat Surg
January 2025
Yüksek İhtisas Üniversitesi Ortopedi ve Travmatoloji Anabilim Dalı, 06530 Çankaya, Ankara, Türkiye.
Objectives: This study aimed to evaluate the responses provided by ChatGPT-4o to the most frequently asked questions by patients regarding hip arthroscopy.
Materials And Methods: In this cross-sectional survey study, a new Google account without a search history was created to determine the 20 most frequently asked questions about hip arthroscopy via Google. These questions were asked to a new ChatGPT-4o account on June 1, 2024, and the responses were recorded.
Challenging large language models' "" with human tools: A neuropsychological investigation in Italian language on prefrontal functioning.
Heliyon
October 2024
Department of General Psychology, University of Padova, Padova, Italy.
Article Synopsis
- The AI research community has relied on ad-hoc benchmarks to evaluate the capabilities of Large Language Models (LLMs), revealing challenges in replicating human-like intelligence, particularly in tasks linked to prefrontal lobe functions.
- In testing the GPT-3.5, GPT-4, Claude2, and Llama2 models using neuropsychological assessments, GPT-3.5 displayed inconsistent results with weaknesses in planning and social cognition, while GPT-4 performed relatively well across most tasks, except for planning.
- Overall, these findings suggest that current LLMs exhibit emergent abilities but do not fully mimic human cognitive functioning, indicating the potential of existing neuropsychological tests to effectively assess their performance.
Comparing the Ability of Google and ChatGPT to Accurately Respond to Oculoplastics-Related Patient Questions and Generate Customized Oculoplastics Patient Education Materials.
Clin Ophthalmol
September 2024
Department of Ophthalmology, Byers Eye Institute at Stanford University School of Medicine, Palo Alto, CA, USA.
Purpose: To compare the accuracy and readability of responses to oculoplastics patient questions provided by Google and ChatGPT. Additionally, to assess the ability of ChatGPT to create customized patient education materials.
Methods: We executed a Google search to identify the 3 most frequently asked patient questions (FAQs) related to 10 oculoplastics conditions.
Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5 and Humans in Clinical Chemistry Multiple-Choice Questions.
Adv Med Educ Pract
September 2024
Institute of Medical Informatics, University Hospital RWTH Aachen, Aachen, Germany.
Introduction: Artificial intelligence (AI) chatbots excel in language understanding and generation. These models can transform healthcare education and practice. However, it is important to assess the performance of such AI models in various topics to highlight its strengths and possible limitations.
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