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Data science is a bridge discipline involving computer science, statistics, and knowledge of the health field. We developed a Jupyter Notebook to enable novice users to easily and autonomously analyze data from social networks. We conducted an experimentation with non-programmer students. They had to adapt a R Notebook and complete 14 questions and to perform descriptive analyses. The average rate of correct answers was 90.7. Jupyter Notebook enabled novice users to easily and autonomously analyze data from Twitter.
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http://dx.doi.org/10.3233/SHTI220598 | DOI Listing |
Minim Invasive Ther Allied Technol
September 2025
Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.
Background: This pilot study investigates the adaptability of the articulating instrument (ArtiSential) among surgeons with different levels of experience in conventional laparoscopic surgery.
Methods: From June to November 2023, 18 laparoscopic surgeons participated in peg transfer and suture training using ArtiSential instruments. Participants were categorized into novice, intermediate, and expert groups.
DIS (Des Interact Syst Conf)
July 2025
Arizona State University Tempe, Arizona, USA.
Audio descriptions (AD) make videos accessible for blind and low vision (BLV) users by describing visual elements that cannot be understood from the main audio track. AD created by professionals or novice describers is time-consuming and offers little customization or control to BLV viewers on description length and content and when they receive it. To address this gap, we explore user-driven AI-generated descriptions, enabling BLV viewers to control both the timing and level of detail of the descriptions they receive.
View Article and Find Full Text PDFProc SIGCHI Conf Hum Factor Comput Syst
April 2025
School of Arts, Media and Engineering, Arizona State University, Tempe, Arizona, USA.
Video descriptions are crucial for blind and low vision (BLV) users to access visual content. However, current artificial intelligence models for generating descriptions often fall short due to limitations in the quality of human annotations within training datasets, resulting in descriptions that do not fully meet BLV users' needs. To address this gap, we introduce VideoA11y, an approach that leverages multimodal large language models (MLLMs) and video accessibility guidelines to generate descriptions tailored for BLV individuals.
View Article and Find Full Text PDFPLoS One
August 2025
Battlefield Shock and Organ Support Laboratory, The Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Background/objectives: Hemorrhage is associated with most preventable combat-related deaths. Management of non-compressible truncal and junctional hemorrhage remains challenging, especially with prolonged evacuations. This study evaluated the efficacy of commercial topical hemostatic agents in uncontrolled hemorrhage models under coagulopathic conditions, examining differences based on applicator experience.
View Article and Find Full Text PDFJ Pers Med
August 2025
Advanced Radiology Center (ARC), Department of Radiology and Oncological Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy.
Radiology often presents communication challenges due to its technical complexity, particularly for patients, trainees, and non-specialist clinicians. This study aims to evaluate the effectiveness of RadioBot, an AI-powered chatbot developed on the Botpress platform, in enhancing radiological communication through natural language processing (NLP). RadioBot was designed to provide context-sensitive responses based on guidelines from the American College of Radiology (ACR) and the Radiological Society of North America (RSNA).
View Article and Find Full Text PDF