AIMC Topic: Delphi Technique

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Responsible artificial intelligence in public health: a Delphi study on risk communication, community engagement and infodemic management.

BMJ global health
INTRODUCTION: Artificial intelligence (AI) holds the potential to fundamentally transform how public health authorities use risk communication, community engagement and infodemic management (RCCE-IM) to prepare for, manage and mitigate public health ...

Differences in Expert Perspectives on AI Training in Medical Education: Secondary Analysis of a Multinational Delphi Study.

Journal of medical Internet research
In this secondary analysis of a multinational Delphi study, experts from low- and middle-income countries were less likely than those from high-income countries to consider artificial intelligence (AI) learning outcomes mandatory in preregistration m...

State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
AIMS: Artificial intelligence (AI) has the potential to transform cardiac electrophysiology (EP), particularly in arrhythmia detection, procedural optimization, and patient outcome prediction. However, a standardized approach to reporting and underst...

Artificial intelligence for contextual well-being: Protocol for an exploratory sequential mixed methods study with medical students as a social microcosm.

PloS one
INTRODUCTION: AI-powered conversational agents have proven effective in alleviating psychological distress, however, concerns about autonomy and authentic psychological development remain, especially in youth during critical stages of identity and re...

Ensuring the integrity assessment of IoT medical sensors using hesitant fuzzy sets.

Health informatics journal
The Internet of Medical Things (IoMT) is transforming healthcare systems, but concerns about device integrity and sensitive data are growing. The study aims to develop a framework for evaluating and prioritizing integrity schemes in healthcare for I...

Identification and Prioritization of Health Indexes in Nomadic Tribespeople by Fuzzy Delphi Method: An Ecological Study.

Inquiry : a journal of medical care organization, provision and financing
The migratory lifestyle of nomadic communities, combined with the lack of a suitable health-related organizational structure, has made it difficult to provide health care services that can improve their health status. To achieve the concept of justic...

What Are We Talking About When We Talk About Information-Driven Care? A Delphi-Study on a Definition.

Studies in health technology and informatics
In Sweden, the term information-driven care has recently been put forward by healthcare organizations and researchers as a means for taking a comprehensive approach to the introduction of Artificial Intelligence (AI) in healthcare. The aim of this st...

A computational study of mental health awareness campaigns on social media.

Translational behavioral medicine
As public discourse continues to progress online, it is important for mental health advocates, public health officials, and other curious parties and stakeholders, ranging from researchers, to those affected by the issue, to be aware of the advancing...

Building an effective ontology for assistive technology.

Studies in health technology and informatics
The aim of this paper was to develop and validate an ontology for one class of assistive technology (AT), namely physically controllable pointing devices, using the Delphi method. Six occupational therapists with AT expertise identified important ite...