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Assessing the presence of rhinological surgery on social media: Factors influencing searches.
Am J Otolaryngol
December 2024
Department of Otolaryngology, 301 University Blvd., Galveston 77555, TX, USA.
Objective: To evaluate the quality and engagement of rhinology-related educational videos shared by healthcare providers on Instagram.
Methods: The top 150 videos on Instagram for #SinusSurgeryEducation, #TurbinateReductionEducation, and #SeptoplastyEducation were selected. Videos were categorized by provider's specialty and analyzed for engagement metrics (likes, comments, shares, views), video duration, and hashtags.
Applying Natural Language Processing Techniques to Map Trends in Insomnia Treatment Terms on the r/Insomnia Subreddit: Infodemiology Study.
J Med Internet Res
January 2025
Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States.
Background: People share health-related experiences and treatments, such as for insomnia, in digital communities. Natural language processing tools can be leveraged to understand the terms used in digital spaces to discuss insomnia and insomnia treatments.
Objective: The aim of this study is to summarize and chart trends of insomnia treatment terms on a digital insomnia message board.
A dataset and benchmark for hospital course summarization with adapted large language models.
J Am Med Inform Assoc
December 2024
Department of Radiology, Stanford University, Stanford, CA 94304, United States.
Objective: Brief hospital course (BHC) summaries are clinical documents that summarize a patient's hospital stay. While large language models (LLMs) depict remarkable capabilities in automating real-world tasks, their capabilities for healthcare applications such as synthesizing BHCs from clinical notes have not been shown. We introduce a novel preprocessed dataset, the MIMIC-IV-BHC, encapsulating clinical note and BHC pairs to adapt LLMs for BHC synthesis.
View Article and Find Full Text PDFBackground: Strokes affect 15 million people worldwide annually, including 5% of patients over the age of 75, making them a leading cause of death and disability, especially in elderly patients with cognitive impairment. Mnemonics have been developed in multiple languages to inform the public how to recognize stroke signs, including the English "BEFAST." For Spanish-speaking populations, the mnemonics "AHORA" and "RAPIDO" are both circulated with pictorial brochures.
View Article and Find Full Text PDFThe Role of [F]F-FDG PET/CT for Predicting Histology and Prognosis in Patients with Thymic Lesions.
Mol Diagn Ther
January 2025
Thoracic Surgery and Lung Transplantation, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122, Milan, Italy.
Objectives: To investigate whether 18F-fluorodeoxyglucose positron emission tomography-computed tomography ([F]F-FDG PET/CT) metabolic parameters were associated with histology and to assess their prognostic role in patients with thymic lesions.
Patients And Methods: In total, 116 patients (49/67 M/F; mean age 59.5 years) who underwent preoperative [F]F-FDG PET/CT and thymectomy from 2012 to 2022 were retrospectively analyzed.
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