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With health and surgery increasingly aided by digital technologies, there exists a growing impetus to understand how such tools must integrate into existing clinical pathways to ensure a positive impact on patient and organisational outcomes. Consequently, this study sought to collate evidence on the use of digital technology in cardiac reperfusion surgeries. We systematically searched three scientific databases for relevant articles. In total, 1,092 articles were retrieved, with 126 screened using inclusion/exclusion criteria, and 21 selected for analysis. Articles reported on the use of virtual reality, mHealth and telehealth in cardiovascular reperfusion procedures, ranging from surgical training regimens to postoperative rehabilitation. Here, despite clinical advantages, limitations were highlighted, including cost, ineffective interfaces and extensive training needed to operate novel digital tools. Nevertheless with further development and input from patient stakeholders, many limitations look set to dematerialise and provide tangible improvements to the benefit of patients and hard-pressed health institutions.
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http://dx.doi.org/10.7861/fhj.2023-0033 | DOI Listing |
J Public Health Policy
September 2025
Ethics, American Medical Association, Chicago, IL, USA.
Global climate change has increased the risk of wildfires, which pose serious short and long-term mental health problems. Emotional well-being and access to specialized health services are among the most challenging health concerns of those affected by wildfires. In this overview, I discuss the mental health burdens of wildfires and the need for programmatic solutions and resources for developing mental health support infrastructure, including access to care, Skills for Psychological Recovery training programs, and digital health tools.
View Article and Find Full Text PDFInt Psychogeriatr
September 2025
Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States. Electronic address:
Background: As demand for mental healthcare access grows among older adult populations, digital mental health tools have emerged as promising tools. However, bridging the digital divide among older technology users remains critical. This post-hoc analysis evaluated potential factors influencing the adoption of a digital mental health tool in older adults.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
Academy for Health Innovation Uganda, Infectious Diseases Institute, Makerere University, Kampala, Uganda.
Background: Sexually transmitted infections are a significant public health concern, particularly in sub-Saharan Africa, where their prevalence remains high. Promoting awareness and reducing stigma are essential strategies for addressing this challenge, but those affected often have limited access to accurate and culturally appropriate health information. Therefore, innovative solutions are essential to enhance sexual health literacy and encourage informed health-seeking behaviors.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
Department of Psychiatry, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea.
Background: Autism spectrum disorder (ASD) and social communication disorder (SCD) are neurodevelopmental disorders characterized by deficits in social communication that hinder social adaptation, with limited pharmacological options for therapy owing to the absence of identified biomarkers. Individuals with ASD or SCD require lifelong interventions tailored to their development stages. However, most existing interventions primarily focus on early childhood, leaving adolescents relatively underserved.
View Article and Find Full Text PDFEur J Radiol
August 2025
Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Purpose: To evaluate whether AI-assisted ipsilateral tissue matching in digital breast tomosynthesis (DBT) reduces localization errors beyond typical tumor boundaries, particularly for non-expert radiologists. The technology category is deep learning.
Materials And Methods: The study consisted of two parts.