AIMC Topic: Digital Health

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Effectiveness of Digital Health Interventions for Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis.

Journal of medical Internet research
BACKGROUND: Chronic obstructive pulmonary disease (COPD), marked by dyspnea, cough, and sputum production, significantly impairs patients' quality of life and functionality. Effective management strategies, particularly those empowering patients to m...

Understanding Dermatologists' Acceptance of Digital Health Interventions: Cross-Sectional Survey and Cluster Analysis.

JMIR human factors
BACKGROUND: Digital health interventions (DHIs) have the potential to enhance dermatological care by improving quality, patient empowerment, and efficiency. However, adoption remains limited, particularly in Germany.

Efficacy of using a digital health intervention model using community health workers for primary health services in Bangladesh: a repeated cross-sectional observational study.

BMC public health
OBJECTIVE: This study aims to evaluate the effectiveness of a digital health intervention model by observing people's health conditions in a rural area of Bangladesh. Through a repeated cross-sectional design, health outcomes were assessed at six-mon...

Digital health tools in juvenile idiopathic arthritis: a systematic literature review.

Pediatric rheumatology online journal
BACKGROUND: Nowadays, digital health technologies, including mobile apps, wearable technologies, social media, websites, electronic medical records, and artificial intelligence, are impacting disease management and outcomes. We aimed to analyse the c...

Knowledge, attitude, and practice of primary care physicians toward clinical AI-assisted digital health technologies: Systematic review and meta-analysis.

International journal of medical informatics
BACKGROUND: The landscape of digital health technologies is evolving rapidly, with clinical artificial intelligence increasingly integrated into primary care. Successfully adopting these technologies depends on the users' knowledge, attitude, and pra...

Natural Language Processing for Digital Health in the Era of Large Language Models.

Yearbook of medical informatics
OBJECTIVES: Large language models (LLMs) are revolutionizing the natural language pro-cessing (NLP) landscape within healthcare, prompting the need to synthesize the latest ad-vancements and their diverse medical applications. We attempt to summarize...

Safety and Precision AI for a Modern Digital Health System.

Yearbook of medical informatics
Artificial intelligence (AI) promises to revolutionize healthcare. Currently there is a proliferation of new AI applications that are being developed and beginning to be deployed across many areas in healthcare to streamline and make healthcare proce...

Enhancing treatment adherence in dialysis patients through digital health interventions: a systematic review and meta-analysis of randomized controlled trials.

Renal failure
OBJECTIVE: To systematically assess the efficacy of digital health interventions (DHIs) for improving treatment adherence among dialysis patients through a meta-analysis of randomized controlled trials (RCTs).

Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review.

BMC medical informatics and decision making
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) represents a significant global health challenge, placing considerable burdens on healthcare systems. The rise of digital health technologies (DHTs) and artificial intelligence (AI) algorithms ...

Digital Health and Genomics.

The Nursing clinics of North America
Digital health technologies have a crucial role in streamlining the use of genomics and facilitating access to genomic health care. There are efforts to integrate genomic information into electronic health records and use artificial intelligence to a...