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Background: Mental health remains among the top 10 leading causes of disease burden globally, and there is a significant treatment gap due to limited resources, stigma, limited accessibility, and low perceived need for treatment. Problem Management Plus, a World Health Organization-endorsed brief psychological intervention for mental health disorders, has been shown to be effective and cost-effective in various countries globally but faces implementation challenges, such as quality control in training, supervision, and delivery. While digital technologies to foster mental health care have the potential to close treatment gaps and address the issues of quality control, their development requires context-specific, interdisciplinary, and participatory approaches to enhance impact and acceptance.

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Background: disease-related malnutrition (DRM) affects 30-50 % of hospitalized patients and is often underdiagnosed, increasing risks of complications and healthcare costs. Traditional DRM detection has relied on manual methods that lack accuracy and efficiency.

Objective: this narrative review explores how artificial intelligence (AI), specifically machine learning (ML) and deep learning (DL), can transform the prediction and management of DRM in clinical settings.

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Molecular imaging has significantly advanced the detection and analysis of in vivo metabolic processes, while single-modal techniques remain limited. Dual-modal imaging, particularly positron emission tomography (PET)-based combinations has emerged as a powerful solution, offering enhanced capabilities through integration with magnetic resonance imaging (MRI) or near-infrared fluorescence (NIRF) imaging. This review highlights recent progress in PET-based dual-modal imaging, focusing on the development of various bimodal probes derived from antibodies, nanoparticles, and peptides, and key applications including image-guided surgery and disease assessment.

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Descending necrotizing mediastinitis (DNM) is a rare and potentially life-threatening condition characterized by the rapid spread of infection within the mediastinum. This severe form of mediastinitis poses a significant challenge to clinicians due to its aggressive nature and potential for rapid deterioration. In this case report, we present a challenging case of descending necrotizing mediastinitis in a 39-year-old patient with persistent pyrexia and an extended hospital stay in the intensive care unit (ICU), cardiothoracic unit (CTU), and surgical intensive care unit (SICU).

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Background: Digital health technologies can improve health outcomes and the efficiency of healthcare delivery when used appropriately. Nevertheless, the human-computer interaction is a concern in compassionate patient care and nurses' professional well-being.

Objective: To analyze the degree of technological acceptance and use within nurses in two Latin American university hospitals.

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