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http://dx.doi.org/10.1016/j.jhsa.2018.05.014 | DOI Listing |
Front Neurol
August 2025
Department of Neurology, The First Hospital of Jilin University, Changchun, Jilin, China.
Objective: To investigate the diagnostic accuracy of ultrasonography in detecting dysphagia and to compare it with other diagnostic methods.
Methods: This is a systematic review and meta-analysis of observational studies. The literature was searched in multiple databases, including the Cochrane Central Controlled Trials Registry (a global database of controlled trials); MEDLINE, EMBASE, and Web of Science (biomedical, pharmacological, and multidisciplinary citation databases, respectively); CINAHL (focusing on nursing and allied health research); and Chinese databases including Wanfang Data, CNKI, and VIP (covering academic, scholarly, and scientific-technical literature).
J Dent
September 2025
Dental Clinic Post-Graduate Program, University Center of State of Pará, Belém, Pará, Brazil. Electronic address:
Objective: This study evaluated the coherence, consistency, and diagnostic accuracy of eight AI-based chatbots in clinical scenarios related to dental implants.
Methods: A double-blind, clinical experimental study was carried out between February and March 2025, to evaluate eight AI-based chatbots using six fictional cases simulating peri-implant mucositis and peri-implantitis. Each chatbot answered five standardized clinical questions across three independent runs per case, generating 720 binary outputs.
Front Artif Intell
August 2025
Department of Computer Science, Lahore Leads University, Lahore, Pakistan.
Introduction: The advent of large language models and their applications have gained significant attention due to their strengths in natural language processing.
Methods: In this study, ChatGPT and DeepSeek are utilized as AI models to assist in diagnosis based on the responses generated to clinical questions. Furthermore, ChatGPT, Claude, and DeepSeek are used to analyze images to assess their potential diagnostic capabilities, applying the various sensitivity analyses described.
Front Public Health
September 2025
Division of Population Health, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom.
Background: Food insecurity remains a significant global challenge, particularly in low- and middle-income countries (LMICs), where it contributes to the growing prevalence of the double burden of malnutrition. Social enterprises (SEs) are increasingly recognized as effective tools for addressing social challenges through innovative and sustainable approaches. However, their role in mitigating food insecurity in Sub-Saharan Africa has not been extensively explored.
View Article and Find Full Text PDFMedicine (Baltimore)
August 2025
Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman (UTAR), Kajang, Selangor, Malaysia.
Background: Falls pose a significant public health challenge for the elderly, impacting morbidity, mortality, and independence. Traditional assessment methods often lack precision and practicality, necessitating the development of innovative solutions. Wearable sensors, utilizing accelerometers, gyroscopes, and machine learning algorithms, have emerged as transformative tools for real-time fall-risk monitoring.
View Article and Find Full Text PDF