Journal of Medical Internet Research

Telemedicine has emerged as a critical tool in the management of acute stroke; yet, its impact on clinical decision-making, particularly in the administration of tissue plasminogen activator (tPA), remains underexplored. Understanding how telemedicine influences tPA use and subsequent patient outcomes, such as hemiplegia, is critical for optimizing stroke care protocols.

The COVID-19 pandemic has inflicted global devastation, infecting over 750 million and causing 6 million deaths. In an effort to control the spread of the virus, governments around the world implemented a variety of measures, including stay-at-home orders, school closures, and mask mandates. These measures had a substantial impact on dietary behavior, with individuals discussing more home-cooked meals and snacking on social media.

Differentiating bipolar disorder (BD) from unipolar depression (UD) is essential, as these conditions differ greatly in their progression and treatment approaches. Digital phenotyping, which involves using data from smartphones or other digital devices to assess mental health, has emerged as a promising tool for distinguishing between these two disorders.

The prevalence of mental health problems is increasing, particularly among young people, making the prevention of mental health problems and improvements in care a public health priority. Social media, with its wide reach and low-cost information dissemination, has emerged as an important tool for public mental health campaigns in high-income countries. However, there is a limited understanding of the reach of public mental health social media campaigns and their impact on mental health knowledge, attitudes, stigma, and behaviors, such as help-seeking.

Nursing students experience disproportionately high rates of mental health challenges, underscoring the urgent need for innovative, scalable interventions. Web-based mindfulness programs, and more recently, neurofeedback-enhanced approaches, present potentially promising avenues for addressing this critical issue.

Hemorrhagic transformation (HT) is commonly detected in acute ischemic stroke (AIS) and often leads to poor outcomes. Currently, there is no ideal tool for early prediction of HT risk. Recently, machine learning has gained traction in stroke management, prompting the exploration of predictive models for HT. However, systematic evidence on these models is lacking.

General awareness and exposure to generative artificial intelligence (AI) have increased recently. This transformative technology has the potential to create a more dynamic and engaging user experience in digital mental health interventions (DMHIs). However, if not appropriately used and controlled, it can introduce risks to users that may result in harm and erode trust. At the time of conducting this trial, there had not been a rigorous evaluation of an approach to safely implementing generative AI in a DMHI.

With the introduction of Regulation (EU) 2017/745, also known as the Medical Device Regulation (MDR), startups aiming to develop software as a medical device (SaMD) in the European Union are confronted with stringent and complex regulations, and many of them struggle with them. Complying with the MDR is a costly, time-consuming endeavor requiring expertise and substantial financial resources. However, it opens the door for new revenue models, such as reimbursement pathways. Consequently, the MDR significantly shapes the business model of startups. Early on, the regulation needs to be considered for business modeling to survive the conformity assessment process financially. Business model frameworks are tools that reduce complexity by focusing on the key aspects of a business model. Thereby, the risk of overlooking essential elements can be minimized. A framework directly integrating the MDR could alleviate the intricate circumstances in which SaMD startups are entangled.

Appropriate outcome assessment strategies and high-quality trials are critical to advancing care of patients with acute and chronic pain. Using extended reality (XR), namely, virtual and augmented reality, as a nonpharmacological treatment for pain has accelerated in the last decade. XR allows users to engage completely in immersive, gamified, sensorial digital experiences. Currently, no standardized approach to assessing outcomes of XR-based interventions for pain exists.

Obesity is a chronic complex disease associated with increased risks of developing several serious and potentially life-threatening conditions. It is a growing global health issue. Pharmacological treatment is an option for patients living with overweight or obesity. Digital technology may be leveraged to support patients with weight loss in the community, but it is unclear which of the multiple digital options are important for success.

Kidney stones, a prevalent urinary disease, pose significant health risks. Factors like insufficient water intake or a high-protein diet increase an individual’s susceptibility to the disease. Social media platforms can be a valuable avenue for users to share their experiences in managing these risk factors. Analyzing such patient-reported information can provide crucial insights into risk factors, potentially leading to improved quality of life for other patients.

Diarrhea, a common symptom of gastrointestinal infections, can lead to severe complications and is a major cause of emergency department (ED) visits.