AIMC Topic: Telemedicine

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Integrating Patient Perspectives Into the Digital Health Technology Readiness Framework: Delphi Study.

Journal of medical Internet research
BACKGROUND: Digital health technologies-including mobile applications, telemedicine platforms, artificial intelligence, and eHealth tools-are transforming health care delivery by enhancing access, personalization, and efficiency. However, traditional...

Integrating mHealth Innovations into Decentralized Oncology Trials.

Journal of medical systems
The integration of mobile health (mHealth) technologies into decentralized clinical trials (DCTs) may represent a paradigm shift in oncology research, offering innovative solutions to longstanding challenges in clinical trial design and execution. mH...

Artificial intelligence and digital health in vascular surgery: a 2-decade bibliometric analysis of research landscapes and evolving frontiers.

Journal of robotic surgery
To analyze the structural and temporal evolution of artificial intelligence (AI) and digital health applications in vascular surgery over the past two decades, identifying historical development trajectories, research focal points, and emerging front...

Digital Therapeutics in Cardiovascular Healthcare: A Narrative Review.

Current cardiology reports
The rapid development of digital therapeutics (DTx) presents opportunities for cardiovascular diseases (CVD) intervention. This review aims to summarize the technologies and applications of DTx in the field of cardiovascular healthcare. It seeks to i...

Usability and Usefulness of SMS-Based Artificial Intelligence Intervention (Mwana) on Breastfeeding Outcomes in Lagos, Nigeria: Pilot App Development Study.

JMIR formative research
BACKGROUND: Nigeria has one of the highest child mortality rates globally, with 111 deaths per 1000 live births. Exclusive breastfeeding (EBF) improves infant survival by providing essential nutrients and antibodies that protect against infections an...

Multidomain Behavioral Change Digital Coaching for Chronic Disease Management in Patients With Type 2 Diabetes: Framework Development and Preliminary Evaluation.

JMIR formative research
BACKGROUND: Unhealthy lifestyle behaviors have been identified as a major cause of numerous health issues, with a steady global increase in their prevalence. Addressing this challenge requires comprehensive behavioral changes to promote the adoption ...

Exploring tuberculosis patients' preferences for AI-assisted remote health management services in China: a protocol for a discrete choice experiment.

BMJ open
INTRODUCTION: Effective health management is critical for patients with tuberculosis (TB), especially given the need for long-term treatment adherence and continuous monitoring. Artificial intelligence (AI)-assisted remote health management services ...

Quantitative Research on Digitalized Treatment Options for Older Adults With Mental Illness: Scoping Review.

JMIR mental health
BACKGROUND: Older adults with mental illness face specific physical and psychosocial challenges and inequities, reflected in limited access to advanced technology. This digital divide is alarming as mental health interventions increasingly depend on ...

Enhancing remote patient monitoring with AI-driven IoMT and cloud computing technologies.

Scientific reports
The rapid advancement of the Internet of Medical Things (IoMT) has revolutionized remote healthcare monitoring, enabling real-time disease detection and patient care. This research introduces a novel AI-driven telemedicine framework that integrates I...

Diabetic retinopathy in rural communities: a review of barriers to access of care and potential solutions.

Annals of medicine
INTRODUCTION: Diabetic retinopathy (DR) is a leading cause of vision loss. With an estimated 38.4 million Americans diagnosed with DM, the disease exerts a significant burden on healthcare systems, especially in rural areas where access to care is li...