AIMC Topic: Digital Health

Clear Filters Showing 51 to 60 of 75 articles

[Digital health: a green future for healthcare?].

Urologie (Heidelberg, Germany)
The healthcare sector is doubly affected by the climate crisis. On the one hand, the number of disease and injury cases will increase due to various effects such as heatwaves or natural disasters, further burdening the healthcare system. On the other...

[Digital urology : Possible uses for artificial intelligence and digital health applications].

Urologie (Heidelberg, Germany)
BACKGROUND: Urology presents itself as a modern and future-oriented discipline. Artificial intelligence (AI) is becoming increasingly important in the field of digital urology. It enables the analysis of large medical data sets, such as histological ...

Unexploited opportunities in oral disease biosensors and digital health integration.

Clinica chimica acta; international journal of clinical chemistry
Oral pathologies such as oral cancer, oral potentially malignant disorders (OPMDs), oral squamous cell carcinoma (OSCC), represent significant global health challenges owing to their prevalence, complex management, and impact on patient quality of li...

Early Detection of Acute Coronary Syndrome Using a Mobile Digital Health Application.

Studies in health technology and informatics
Early detection of acute coronary syndrome (ACS) is vital for reducing ischemic time and preserving more heart muscle.Chest pain is the most common symptom of acute coronary syndrome (ACS). This study used a quick chest pain assessment questionnaire ...

A roadmap for safe, regulation-compliant Living Labs for AI and digital health development.

Science advances
Safe and agile experimentation spaces are essential for developing AI-enabled medical devices and digital health innovations. "Living Labs" offer a collaborative environment for testing technologies in near-real-world settings, capturing user perspec...

Breaking Digital Health Barriers Through a Large Language Model-Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study.

Journal of medical Internet research
BACKGROUND: The integration of diverse clinical data sources requires standardization through models such as Observational Medical Outcomes Partnership (OMOP). However, mapping data elements to OMOP concepts demands significant technical expertise an...

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...

Impact of a "Digital Health" Curriculum on Students' Perception About Competence and Relevance of Digital Health Topics for Future Professional Challenges: Prospective Pilot Study.

JMIR formative research
BACKGROUND: The rapid integration of digital technologies in health care has emphasized the need to ensure that medical students are well-equipped with the knowledge and competencies related to digital health.

Understanding the gap: a balanced multi-perspective approach to defining essential digital health competencies for medical graduates.

BMC medical education
BACKGROUND: Rapid technological advancements have left medical graduates potentially underprepared for the digital healthcare environment. Despite the importance of digital health education, consensus on essential primary medical degree content is la...