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Emotional analysis of operating room nurses in acute care hospitals in Japan: insights using ChatGPT.
BMC Nurs
January 2025
Department of Healthcare Management Research Center, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8677, Japan.
Aim: This study aimed to explore the emotions of operating room nurses in Japan towards perioperative nursing using generative AI and human analysis, and to identify factors contributing to burnout and turnover.
Methods: A single-center cross-sectional study was conducted from February 2023 to February 2024, involving semi-structured interviews with 10 operating room nurses from a national hospital in Japan. Interview transcripts were analyzed using generative AI (ChatGPT-4o) and human researchers for thematic, emotional, and subjectivity analysis.
ChatGPT Assisting Diagnosis of Neuro-Ophthalmology Diseases Based on Case Reports.
J Neuroophthalmol
October 2024
Department of Ophthalmology (YM, MD, PAL, JWF, TJH, SY), University of Tennessee Health Science Center, Memphis, Tennessee; Department of Ophthalmology (MYK), University of Colorado School of Medicine, Aurora, Colorado; and Department of Genetics, Genomics, and Informatics (SY), University of Tennessee Health Science Center, Memphis, Tennessee.
Background: To evaluate the accuracy of Chat Generative Pre-Trained Transformer (ChatGPT), a large language model (LLM), to assist in diagnosing neuro-ophthalmic diseases based on case reports.
Methods: We selected 22 different case reports of neuro-ophthalmic diseases from a publicly available online database. These cases included a wide range of chronic and acute diseases commonly seen by neuro-ophthalmic subspecialists.
Biomarkers.
Alzheimers Dement
December 2024
Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Background: Widely used neuropsychological test instruments are notoriously biased across the demographics of age, sex/gender, education, language and culture. This includes verbal memory tests that elicit speech such as the paragraph recall or list-learning memory tests. Language tests are similarly biased, including the Boston Diagnostic Aphasia Examination Cookie Theft Test (CTT) that has been used to elicit both written and spoken responses for decades.
View Article and Find Full Text PDFDementia Care Research and Psychosocial Factors.
Alzheimers Dement
December 2024
Michigan Alzheimer's Disease Research Center, Ann Arbor, MI, USA.
Background: The integration of Large Language Models (LLMs) like ChatGPT-4 in clinical settings offers potential enhancements in medical practice, particularly in neurology and dementia care. There is rising public usage of ChatGPT-4 for preliminary information gathering. This study aims to evaluate the effectiveness of ChatGPT-4 in responding to neurology-focused queries, with an emphasis on Alzheimer's Disease (AD).
View Article and Find Full Text PDFA mixed-methods study comparing human-led and ChatGPT-driven qualitative analysis in medical education research.
Nagoya J Med Sci
November 2024
Center for Medical Education, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Qualitative research, used to analyse non-numerical data including interview texts, is crucial in understanding medical education processes. However, it is often complex and time-consuming, leading to an interest in technology for streamlining the analysis. This study investigated the applicability of ChatGPT, a large language model, in thematic analysis for medical qualitative research.
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