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User-Oriented Requirements for Artificial Intelligence-Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project.
JMIR Res Protoc
January 2025
Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
Background: Artificial intelligence (AI)-based clinical decision support systems (CDSS) have been developed for several diseases. However, despite the potential to improve the quality of care and thereby positively impact patient-relevant outcomes, the majority of AI-based CDSS have not been adopted in standard care. Possible reasons for this include barriers in the implementation and a nonuser-oriented development approach, resulting in reduced user acceptance.
View Article and Find Full Text PDFComplex Lower Extremity Salvage Using Composite Flap Grafting in COVID-19-Induced Arterial Thrombosis: A Case Report.
JBJS Case Connect
January 2025
Department of Orthopedic Surgery, Texas Tech University Health Sciences, Center; Lubbock, Texas.
Case: We present a 42-year-old man who developed extensive left lower extremity arterial thrombosis following COVID-19 pneumonia. Despite multiple revascularization attempts and a below-knee amputation, he faced wound necrosis and insufficient soft tissue coverage. An innovative approach using a pedicled flap and sequential flow-through free flaps was used for limb salvage.
View Article and Find Full Text PDFEntity-enhanced BERT for medical specialty prediction based on clinical questionnaire data.
PLoS One
January 2025
School of Industrial and Management Engineering, Korea University, Seongbuk-gu, Seoul, Republic of Korea.
A medical specialty prediction system for remote diagnosis can reduce the unexpected costs incurred by first-visit patients who visit the wrong hospital department for their symptoms. To develop medical specialty prediction systems, several researchers have explored clinical predictive models using real medical text data. Medical text data include large amounts of information regarding patients, which increases the sequence length.
View Article and Find Full Text PDFLong-term engagement in smoking cessation campaign: A mixed methods randomized trial.
PLoS One
January 2025
Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Introduction: A long-term engagement (LTE) intervention was embedded in a social marketing campaign aimed at motivating quit attempts among Canadian adult commercial tobacco users 35 to 64 years of age. The purpose of this study was to examine the effectiveness and appeal of LTE within a marketing campaign.
Methods: 3,199 Canadians who smoked cigarettes aged 35-64 recruited using Facebook and Instagram advertisements were randomized into Intervention and Control groups.
First branchial cleft anomalies in children: long-term outcome in 16 patients.
Eur Arch Otorhinolaryngol
January 2025
Otorhinolaryngology, Head and Neck Surgery, University Hospitals Leuven, Leuven, Belgium.
Introduction: First branchial cleft anomalies (FBCA) are rare congenital head and neck malformations, often subject to incorrect diagnosis and treatment. We present our experience with FBCA, focusing on clinical presentation, diagnosis, perioperative relation to the facial nerve, surgical approach, complications and patient satisfaction.
Methods: A consecutive cohort of 16 patients undergoing surgical treatment for FBCA between 1999 and 2021 was analyzed.
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