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| http://dx.doi.org/10.2340/actadv.v105.41208 | DOI Listing |
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11697136 | PMC |
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Assessing ChatGPT-4's Capabilities in Generating Dermatology Board Examination Content: An Explorational Study.
Acta Derm Venereol
January 2025
Department of Dermatology, Rambam Health Care Campus, Haifa, Israel; Technion Faculty of Medicine, Haifa, Israel.
ChatGPT 3.5 and 4 Provide Mostly Accurate Information When Answering Patients' Questions Relating to Femoroacetabular Impingement Syndrome and Arthroscopic Hip Surgery.
J ISAKOS
December 2024
Division of Orthopaedic Surgery, Department of Surgery, McMaster University, 1200 Main St West, Hamilton, Ontario, L8N 3Z5, Canada. Electronic address:
Objectives: This study aimed to evaluate the accuracy of ChatGPT in answering patient questions about femoroacetabular impingement (FAI) and arthroscopic hip surgery, comparing the performance of versions ChatGPT-3.5 (free) and ChatGPT-4 (paid).
Methods: Twelve frequently asked questions (FAQs) relating to FAI were selected and posed to ChatGPT-3.
Advanced susceptibility analysis of ground deformation disasters using large language models and machine learning: A Hangzhou City case study.
PLoS One
December 2024
Zhejiang Institute of Geosciences, Observation and Research Station of Zhejiang Coastal Urban Geological Security, Ministry of Natural Resources, Hangzhou, The People's Republic of China.
To address the prevailing scenario where comprehensive susceptibility assessments of ground deformation disasters primarily rely on knowledge-driven models, with weight judgments largely founded on expert subjective assessments, this study initially explores the feasibility of integrating data-driven models into the evaluation of urban ground collapse and subsidence. Hangzhou city, characterized by filled soil and silty sand, was selected as the representative study area. Nine pertinent evaluation factors were identified, and the RF-BP neural network coupling model was employed to assess the susceptibility of ground collapse and subsidence in the study area, the results indicate that the stacked model achieved a 7% increase in AUC value compared to the single model.
View Article and Find Full Text PDFEvaluating AI Competence in Specialized Medicine: Comparative Analysis of ChatGPT and Neurologists in a Neurology Specialist Examination in Spain.
JMIR Med Educ
November 2024
Department of Neurology, Dr. Balmis General University Hospital, C/ Pintor Baeza, Nº 11, Alicante, 03010, Spain, 34 965933000.
Background: With the rapid advancement of artificial intelligence (AI) in various fields, evaluating its application in specialized medical contexts becomes crucial. ChatGPT, a large language model developed by OpenAI, has shown potential in diverse applications, including medicine.
Objective: This study aims to compare the performance of ChatGPT with that of attending neurologists in a real neurology specialist examination conducted in the Valencian Community, Spain, assessing the AI's capabilities and limitations in medical knowledge.
Evaluating the performance and clinical decision-making impact of ChatGPT-4 in reproductive medicine.
Int J Gynaecol Obstet
November 2024
The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Background: ChatGPT, a sophisticated language model developed by OpenAI, has the potential to offer professional and patient-friendly support. We aimed to assess the accuracy and reproducibility of ChatGPT-4 in answering questions related to knowledge, management, and support within the field of reproductive medicine.
Methods: ChatGPT-4 was used to respond to queries sourced from a domestic attending physician examination database, as well as to address both local and international treatment guidelines within the field of reproductive medicine.
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