AIMC Topic: Telemedicine

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Telecardiology unleashed: probing the depths of effectiveness in remote monitoring and telemedicine applications for acute cardiac conditions.

European heart journal. Acute cardiovascular care
Telecardiology has emerged as a promising approach in acute cardiac care through advancements in digital health technologies. This review explores the current evidence of telemedicine applications in acute coronary syndrome, arrhythmias, and acute he...

Hidden in Plain Sight: The Harmful Side of AI-Based Mental Health Interventions.

Studies in health technology and informatics
Advances in Artificial Intelligence (AI) and other technologies together with increasing economic and care pressures have popularized the use and development of digital health solutions and interventions, in particular in mental health. Associated wi...

Advancing Remote Monitoring for Patients With Alzheimer Disease and Related Dementias: Systematic Review.

JMIR aging
BACKGROUND: Using remote monitoring technology in the context of Alzheimer disease (AD) care presents exciting new opportunities to lessen caregiver stress and improve patient care quality. The application of wearables, environmental sensors, and sma...

Effectiveness of eHealth for Medication Adherence in Renal Transplant Recipients: Systematic Review and Meta-Analysis.

Journal of medical Internet research
BACKGROUND: As the optimal treatment for end-stage renal disease, kidney transplantation has proven instrumental in enhancing patient survival and quality of life. Suboptimal medication adherence is recognized as an independent risk factor for poor p...

Exploring the Challenges and Opportunities of Implementing artificial intelligence in healthcare settings in Nepal: A literature review.

Kathmandu University medical journal (KUMJ)
Artificial intelligence (AI) has shown effectiveness in various industries, particularly within healthcare sectors. In Nepal, there are limited insights on existing studies regarding technical, financial, human resources, ethical and privacy related ...

Exploring the User Experience of Generative AI in Digital Health: A Rapid Review.

Studies in health technology and informatics
The integration of generative AI in digital health tools introduces opportunities and challenges to assist healthcare practices and improve health outcomes. A rapid review was performed to investigate the user experience of generative AI in digital h...

Are Wearable ECG Devices Ready for Hospital at Home Application?

Sensors (Basel, Switzerland)
The increasing focus on improving care for high-cost patients has highlighted the potential of Hospital at Home (HaH) and remote patient monitoring (RPM) programs to optimize patient outcomes while reducing healthcare costs. This paper examines the r...

Mobile health apps for skin cancer triage in the general population: a qualitative study on healthcare providers' perspectives.

BMC cancer
BACKGROUND: Mobile health (mHealth) applications (apps) integrated with artificial intelligence for skin cancer triage are increasingly available to the general public. Nevertheless, their actual uptake is limited. Although endorsement by healthcare ...

Machine learning of blood haemoglobin and haematocrit levels via smartphone conjunctiva photography in Kenyan pregnant women: a clinical study protocol.

BMJ open
INTRODUCTION: Anaemia during pregnancy is a widespread health burden globally, especially in low- and middle-income countries, posing a serious risk to both maternal and neonatal health. The primary challenge is that anaemia is frequently undetected ...

Using Machine Learning to Predict Uptake to an Online Self-Guided Intervention for Stress During the COVID-19 Pandemic.

Stress and health : journal of the International Society for the Investigation of Stress
Online self-guided interventions appear efficacious for alleviating some mental health concerns. However, among persons who are offered online interventions, only a fraction access them (i.e., achieve uptake). Machine learning methods may be useful t...