HEAL-AI: Enabling proactive and personalized smart healthcare through hierarchical edge autonomous learning [0.03%]
Manal A Othman
Manal A Othman
Objective: This study aims to develop a proactive, personalized, and privacy-preserving smart healthcare framework that enables real-time clinical decision support across distributed healthcare environments while ensuring...
Hua Yang,Wanting Li
Hua Yang
Objectives: As an important extension of mental health services, online mental health communities (OMHC) have become vital to access psychological support, share experiences and seek professional help. To enhance OMHC use...
Mapping scientific trends in bipolar disorder and digital psychiatry (2000-2025): A bibliometric and visualized analysis of AI-driven diagnosis and digital interventions [0.03%]
Mahdi Naeim,Mohammad Narimani
Mahdi Naeim
Objective: This study aims to map and visualize global research trends related to bipolar disorder (BD), with a focus on artificial intelligence (AI)-driven diagnosis and digital psychiatry from 2000 to 2025. ...
Semantic analysis of SNOMED CT concept co-occurrences in clinical documentation using MIMIC-IV [0.03%]
Ali Noori,Prashanti Manda
Ali Noori
Objectives: Clinical notes contain rich but unstructured information that is challenging to analyze at scale. Standardized terminologies such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) support sem...
Jie Chen,Kara Chan
Jie Chen
Aim/objective: To examine the perceptions of low-income adults in suburban/rural China regarding health and health management mobile applications. Investigating barriers affecting their adoption of mobile health technolog...
Cry analysis for early detection of infantile colic: Integrating behavioral and acoustic cry patterns using machine learning [0.03%]
Ana Laguna,Sandra Pusil,Paolo Piras et al.
Ana Laguna et al.
Background: The study introduces an artificial intelligence (AI) cry analysis tool supporting automatic data collection and detection of crying episodes associated with infantile colic by analyzing behavioral and acoustic...
Leveraging Google search data for predictive surveillance of Mpox: Toward active outbreak prevention [0.03%]
Cheng-Hsun Hsueh,Yi-Chun Chiu,Wei-Ming Cheng et al.
Cheng-Hsun Hsueh et al.
Background: Mpox (formerly monkeypox) has an incubation period of 3-17 days, creating a window when infections are present but undetected. Pre-exposure prevention depends on the two-dose Mpox vaccine, which requires about...
Metaverse-driven telehealth services adoption in China: The role of regulatory compliance, training and technical support, peer influence and literacy determinants in an extended technology acceptance model [0.03%]
Isaac Kofi Mensah,Deborah Simon Mwakapesa,Muhammad Khalil Khan
Isaac Kofi Mensah
Objectives: This study propose an extended Technology Acceptance Model (TAM) to bridge the gap between technical feasibility and human-centric adoption by incorporating external variables such as regulatory compliance (RC...
Lara Wille,Luzie Lohse,Steffen Moritz et al.
Lara Wille et al.
Background: Obsessive-compulsive disorder (OCD) is a chronic, debilitating condition typically treated with cognitive-behavioural therapy (CBT) and exposure and response prevention (ERP). While effective, these approaches...
Evaluation of a novel technology for newborn resuscitation: A visual display of time since birth, video-audio recording, and ergonomic resuscitation equipment: A prospective observational design [0.03%]
Omkar Basnet,So Yeon Joyce Kong,Helge Myklebust et al.
Omkar Basnet et al.
Objective: Despite advancements in technologies, the quality of intrapartum care has consistently not improved. This study evaluates the potential efficacy of a novel technology for newborn resuscitation, which provides a...