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JOURNAL ARTICLE
Hammam Abu Attieh, Diogo Telmo Neves, Mariana Guedes, Massimo Mirandola, Chiara Dellacasa, Elisa Rossi, Fabian Prasser
BACKGROUND: The SARS-CoV-2 pandemic has demonstrated once again that rapid collaborative research is essential for the future of biomedicine. Large research networks are needed to collect, share, and reuse data and biosamples to generate collaborative evidence. However, setting up such networks is often complex and time-consuming, as common tools and policies are needed to ensure interoperability and the required flows of data and samples, especially for handling personal data and the associated data protection issues...
April 23, 2024: JMIR Medical Informatics
#2
JOURNAL ARTICLE
Matthew Chan, Toon Verstraelen, Alireza Tehrani, Michelle Richer, Xiaotian Derrick Yang, Taewon David Kim, Esteban Vöhringer-Martinez, Farnaz Heidar-Zadeh, Paul W Ayers
HORTON is a free and open-source electronic-structure package written primarily in Python 3 with some underlying C++ components. While HORTON's development has been mainly directed by the research interests of its leading contributing groups, it is designed to be easily modified, extended, and used by other developers of quantum chemistry methods or post-processing techniques. Most importantly, HORTON adheres to modern principles of software development, including modularity, readability, flexibility, comprehensive documentation, automatic testing, version control, and quality-assurance protocols...
April 28, 2024: Journal of Chemical Physics
#3
JOURNAL ARTICLE
Goutham R Yalla, Nicholas Hyman, Lauren E Hock, Qiang Zhang, Aakriti G Shukla, Natasha N Kolomeyer
Introduction With the potential for artificial intelligence (AI) chatbots to serve as the primary source of glaucoma information to patients, it is essential to characterize the information that chatbots provide such that providers can tailor discussions, anticipate patient concerns, and identify misleading information. Therefore, the purpose of this study was to evaluate glaucoma information from AI chatbots, including ChatGPT-4, Bard, and Bing, by analyzing response accuracy, comprehensiveness, readability, word count, and character count in comparison to each other and glaucoma-related American Academy of Ophthalmology (AAO) patient materials...
March 2024: Curēus
#4
JOURNAL ARTICLE
Bilal Irfan, Ihsaan Yasin, Aneela Yaqoob
Introduction Influenza is a major global health concern, with its rapid spread and mutation rate posing significant challenges in public health education and communication. Effective patient education materials (PEMs) are crucial for informed decision-making and improved health outcomes. This study evaluates the efficacy of online influenza PEMs using traditional readability tools and introduces the Contextual Health Education Readability Score (CHERS) to address the limitations of existing methods that do not capture the diverse array of visual and thematic means displayed...
March 2024: Curēus
#5
JOURNAL ARTICLE
Vishala Mishra, Ashish Sarraju, Neil M Kalwani, Joseph P Dexter
In this cross-sectional study, we evaluated the completeness, readability, and syntactic complexity of cardiovascular disease prevention information produced by GPT-4 in response to 4 kinds of prompts.
April 22, 2024: Journal of Medical Internet Research
#6
JOURNAL ARTICLE
Ryan Hakim, Matthew Li, Martin Gorbien, Bruce I Gaynes
BACKGROUND: Despite known recommendations regarding standards for print size and the intuitive importance of vision in reading prescription labels, the predictive nature of vision and prescription label readability remains largely undefined. Furthermore, while the importance of vision is recognized, various demographic factors associated with the ability to read prescription labels have not been fully elucidated. OBJECTIVE: Describe relationships between visual acuity, point size, and readability of prescription labels and provide insight into demographic factors associated with prescription label readability...
April 22, 2024: Journal of Pharmacy Practice
#7
Amy C Moreno, Erin E Watson, Laia Humbert-Vidan, Douglas E Peterson, Lisanne V van Dijk, Teresa Guerrero Urbano, Lisa Van den Bosch, Andrew J Hope, Matthew S Katz, Frank J P Hoebers, Ruth A Aponte Wesson, James E Bates, Paolo Bossi, Adeyinka F Dayo, Mélanie Doré, Eduardo Rodrigues Fregnani, Thomas J Galloway, Daphna Y Gelblum, Issa A Hanna, Christina E Henson, Sudarat Kiat-Amnuay, Anke Korfage, Nancy Y Lee, Carol M Lewis, Charlotte Duch Lynggaard, Antti A Mäkitie, Marco Magalhaes, Yvonne M Mowery, Carles Muñoz-Montplet, Jeffrey N Myers, Ester Orlandi, Jaymit Patel, Jillian M Rigert, Deborah Saunders, Jonathan D Schoenfeld, Ugur Selek, Efsun Somay, Vinita Takiar, Juliette Thariat, Gerda M Verduijn, Alessandro Villa, Nick West, Max J H Witjes, Alex Won, Mark E Wong, Christopher M K L Yao, Simon W Young, Kamal Al-Eryani, Carly E A Barbon, Doke J M Buurman, François J Dieleman, Theresa M Hofstede, Abdul Ahad Khan, Adegbenga O Otun, John C Robinson, Lauren Hum, Jorgen Johansen, Rajesh Lalla, Alexander Lin, Vinod Patel, Richard J Shaw, Mark S Chambers, Daniel Ma, Mabi Singh, Noam Yarom, Abdallah Sherif Radwan Mohamed, Katherine A Hutcheson, Stephen Y Lai, Clifton David Fuller
PURPOSE: Osteoradionecrosis of the jaw (ORNJ) is a severe iatrogenic disease characterized by bone death after radiation therapy (RT) to the head and neck. With over 9 published definitions and at least 16 diagnostic/staging systems, the true incidence and severity of ORNJ are obscured by lack of a standard for disease definition and severity assessment, leading to inaccurate estimation of incidence, reporting ambiguity, and likely under-diagnosis worldwide. This study aimed to achieve consensus on an explicit definition and phenotype of ORNJ and related precursor states through data standardization to facilitate effective diagnosis, monitoring, and multidisciplinary management of ORNJ...
April 9, 2024: medRxiv
#8
JOURNAL ARTICLE
Tomasz Skrzypczak, Anna Skrzypczak, Jacek C Szepietowski
PURPOSE: Hidradenitis suppurativa (HS) is a complex disease with the vast burden to patients. The aim of the study was to evaluate readability of online electronic materials dedicated to HS. PATIENTS AND METHODS: The terms "hidradenitis suppurativa" and "acne inversa" translated into 23 official European Union languages were searched with Google. For each language, first 50 results were assessed for suitability. Included materials were focused on patient's education, had no barriers and were not advertisements...
2024: Clinical, Cosmetic and Investigational Dermatology
#9
JOURNAL ARTICLE
Beverley C Millar, Jacqueline C Rendall, John E Moore
BACKGROUND: Respiratory infection is a major cause of disease severity in people with cystic fibrosis (PwCF). This project aimed to establish the CF community's opinion regarding cross infection (CI), nebuliser hygiene, antimicrobial resistance, personal impact of microbiological findings and the role of the microbiology laboratory. METHODS: A questionnaire was completed anonymously (n = 280; PwCF (n = 128), parents (n = 123); friends/family/carers/charity personnel (n = 29)) from 13 countries...
April 20, 2024: Infection, Disease & Health
#10
REVIEW
Yung Lee, Thomas Shin, Léa Tessier, Arshia Javidan, James Jung, Dennis Hong, Andrew T Strong, Tyler McKechnie, Sarah Malone, David Jin, Matthew Kroh, Jerry T Dang
BACKGROUND: The formulation of clinical recommendations pertaining to bariatric surgery is essential in guiding healthcare professionals. However, the extensive and continuously evolving body of literature in bariatric surgery presents considerable challenge for staying abreast of latest developments and efficient information acquisition. Artificial intelligence (AI) has the potential to streamline access to the salient points of clinical recommendations in bariatric surgery. OBJECTIVES: The study aims to appraise the quality and readability of AI-chat-generated answers to frequently asked clinical inquiries in the field of bariatric and metabolic surgery...
March 24, 2024: Surgery for Obesity and Related Diseases
#11
JOURNAL ARTICLE
Ryan C King, Jamil S Samaan, Yee Hui Yeo, Yuxin Peng, David C Kunkel, Ali A Habib, Roxana Ghashghaei
BACKGROUND: Amyloidosis, a rare multisystem condition, often requires complex, multidisciplinary care. Its low prevalence underscores the importance of efforts to ensure the availability of high-quality patient education materials for better outcomes. ChatGPT (OpenAI) is a large language model powered by artificial intelligence that offers a potential avenue for disseminating accurate, reliable, and accessible educational resources for both patients and providers. Its user-friendly interface, engaging conversational responses, and the capability for users to ask follow-up questions make it a promising future tool in delivering accurate and tailored information to patients...
April 19, 2024: JMIR Cardio
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JOURNAL ARTICLE
Matthew R Lam, Garrett N Manion, Benjamin K Young
PURPOSE: This study investigated whether websites regarding diabetic retinopathy are readable for patients, and adequately designed to be found by search engines. METHODS: The term "diabetic retinopathy" was queried in the Google search engine. Patient-oriented websites from the first 10 pages were categorized by search result page number and website organization type. Metrics of search engine optimization (SEO) and readability were then calculated. RESULTS: Among the 71 sites meeting inclusion criteria, informational and organizational sites were best optimized for search engines, and informational sites were the most visited...
April 19, 2024: Graefe's Archive for Clinical and Experimental Ophthalmology
#13
JOURNAL ARTICLE
Susannah K Ayre, Melanie J White, Holly A Harris, Elena Jansen, Rebecca A Byrne
Over the last decade, there have been repeated calls to expand the operationalisation of food parenting practices. The conceptualisation and measurement of these practices has been based primarily on research with parent-child dyads. One unexplored dimension of food parenting pertains to the evaluation of practices specific to feeding siblings. This study describes the development and validation of the Feeding Siblings Questionnaire (FSQ) - a tool designed to measure practices in which siblings are positioned as mediators in parents' attempts to prompt or persuade a child to eat...
April 16, 2024: Appetite
#14
JOURNAL ARTICLE
Ali A Mohamed, Rifa Ali, Phillip M Johansen
No abstract text is available yet for this article.
April 16, 2024: World Neurosurgery
#15
JOURNAL ARTICLE
Hui Ren, Tianye Yang, Xin Yin, Lingling Tong, Jianjun Shi, Jia Yang, Zhu Zhu, Hongyan Li
PURPOSE: This study is the first attempt to use a combination of regression analysis and random forest algorithm to predict the risk factors for high-level fear of cancer recurrence and develop a predictive nomogram to guide clinicians and nurses in identifying high-risk populations for high-level fear of cancer recurrence. METHODS: After receiving various recruitment strategies, a total of 781 survivors who had undergone breast cancer resection within 5 years in four Grade-A hospitals in China were included...
March 29, 2024: European Journal of Oncology Nursing: the Official Journal of European Oncology Nursing Society
#16
JOURNAL ARTICLE
Yasaman Emad, Christina Derksen, Keith J Petrie, Nicola Dalbeth
OBJECTIVE: This study aimed to investigate how medication adherence is addressed in online gout resources in six countries. We investigated how often adherence was referred to, the strategies suggested to improve patient adherence, and the types of nonadherence that were targeted. We also examined the readability of the adherence material. METHODS: A content analysis was conducted on 151 online gout resources from medical and health organisations in six predominantly English-speaking countries...
2024: Rheumatology Advances in Practice
#17
JOURNAL ARTICLE
Karl Swanson, Shuhan He, Josh Calvano, David Chen, Talar Telvizian, Lawrence Jiang, Paul Chong, Jacob Schwell, Gin Mak, Jarone Lee
The advent of patient access to complex medical information online has highlighted the need for simplification of biomedical text to improve patient understanding and engagement in taking ownership of their health. However, comprehension of biomedical text remains a difficult task due to the need for domain-specific expertise. We aimed to study the simplification of biomedical text via large language models (LLMs) commonly used for general natural language processing tasks involve text comprehension, summarization, generation, and prediction of new text from prompts...
April 2024: PLOS Digit Health
#18
JOURNAL ARTICLE
Keegan O'Hern, Melissa M Rames, Jess D Rames, Mary E Lohman, Addison M Demer, Nahid Y Vidal
No abstract text is available yet for this article.
April 16, 2024: Dermatologic Surgery: Official Publication for American Society for Dermatologic Surgery [et Al.]
#19
JOURNAL ARTICLE
Artur Manasyan, Erin Ross, Brigette Cannata, Nicolas Malkoff, Elizabeth Flores, Haig A Yenikomshian, T Justin Gillenwater
While patient education materials (PEMs) across various specialties have been reported as being too difficult to read, the quality and understandability of PEMs related to scar management have not been assessed. In this study, we report the breadth of scar management interventions and readability of online PEMs authored by academic societies and university hospitals. Websites of academic medical societies and university hospitals with scar revision PEMs were assessed for relevance. PEM readability was assessed via Flesch Reading Ease, Flesch-Kincaid Grade Level, and Gunning-Fox Index scores...
April 16, 2024: Journal of Burn Care & Research: Official Publication of the American Burn Association
#20
JOURNAL ARTICLE
Benjamin D Killeen, Shreayan Chaudhary, Greg Osgood, Mathias Unberath
PURPOSE: The expanding capabilities of surgical systems bring with them increasing complexity in the interfaces that humans use to control them. Robotic C-arm X-ray imaging systems, for instance, often require manipulation of independent axes via joysticks, while higher-level control options hide inside device-specific menus. The complexity of these interfaces hinder "ready-to-hand" use of high-level functions. Natural language offers a flexible, familiar interface for surgeons to express their desired outcome rather than remembering the steps necessary to achieve it, enabling direct access to task-aware, patient-specific C-arm functionality...
April 15, 2024: International Journal of Computer Assisted Radiology and Surgery
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