Samira Abbasgholizadeh-Rahimi

Care Trajectories of Older Adults with Cardiovascular Disease and Dementia: A Scoping Review Protocol

Ting Wang, Daniel Wei, Samira Abbasgholizadeh-Rahimi, Isabelle Vedel

This scoping review will examine care trajectories among adults aged 65 years or older living with cardiovascular disease and dementia. It will map how care is organized, delivered, and experienced over time and identify gaps in coordination and continuity. Guided by the …

Assessing the Role of AI in Promoting Health Equity in Primary Healthcare: A Scoping Review Protocol

Sydney Keyamo, Ting Wang, Genevieve C. Gore, Samira Abbasgholizadeh-Rahimi

The integration of AI technologies in healthcare settings may play an important role in achieving the quintuple aim of healthcare, specifically, health equity. While the benefits of AI technologies within healthcare settings are strongly evidenced, there is limited evidence on the potential …

Peer Review Report For: Tracking the Evolving Role of Artificial Intelligence in Implementation Science: Protocol for a Living Scoping Review of Applications, Evaluation Approaches and Outcomes [version 2; peer review: 3 approved]

Guillaume Fontaine, Olivia Di Lalla, Susan Michie, Byron J. Powell et autres

Background Artificial intelligence (AI) offers significant opportunities to improve the field of implementation science by supporting key activities such as evidence synthesis, contextual analysis, and decision-making to promote the adoption and sustainability of evidence-based practices. This living scoping review aims to: (1) …

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Artificial intelligence in implementation science and practice: a living scoping review

Guillaume Fontaine, Olivia Di Lalla, Rachael Laritz, Jeremiah Durran et autres

Artificial intelligence (AI) encompasses computational systems that perform tasks typically requiring human intelligence, including machine learning, generative AI, and agentic applications. The use of AI to support implementation activities is growing, but its applications and evaluation remain poorly characterised. We conducted the …

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AI Methods for Implementation Science (AIM-IS): developing a framework, toolkit, and reporting standard for the responsible use of AI in implementation practice and research

Guillaume Fontaine, Susan Michie, Rinad S. Beidas, Elvin H Geng et autres

BACKGROUND: Artificial intelligence (AI), including machine learning, natural language processing, and large language models, may support implementation practice and research in tasks such as evidence synthesis, determinant assessment, strategy selection, monitoring, adaptation, and theory development. However, these applications of AI do not …

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01. Protocol

Christine Fahim, France Légaré, Natalie Taylor, Ruopeng An et autres

AIM-IS protocol and core project documents.

AI Methods for Implementation Science (AIM-IS)

Christine Fahim, France Légaré, Natalie Taylor, Ruopeng An et autres

AIM-IS will deliver a suite of products, including a framework, toolkit and reporting standard, to support the specification, governance, evaluation, and reporting of AI in implementation science. Together, these products aim to strengthen transparency, comparability, accountability, and attention to equity in how …

Peer Review Report For: Tracking the Evolving Role of Artificial Intelligence in Implementation Science: Protocol for a Living Scoping Review of Applications, Evaluation Approaches and Outcomes [version 2; peer review: 2 approved]

Guillaume Fontaine, Olivia Di Lalla, Susan Michie, Byron J. Powell et autres

Background Artificial intelligence (AI) offers significant opportunities to improve the field of implementation science by supporting key activities such as evidence synthesis, contextual analysis, and decision-making to promote the adoption and sustainability of evidence-based practices. This living scoping review aims to: (1) …

ca, gb, au, ch, us, ie (code pays fourni par la source)

Tracking the Evolving Role of Artificial Intelligence in Implementation Science: Protocol for a Living Scoping Review of Applications, Evaluation Approaches and Outcomes

Guillaume Fontaine, Olivia Di Lalla, Susan Michie, Byron J. Powell et autres

Background: Artificial intelligence (AI) offers significant opportunities to improve the field of implementation science by supporting key activities such as evidence synthesis, contextual analysis, and decision-making to promote the adoption and sustainability of evidence-based practices. This living scoping review aims to: (1) …

ca, gb, au, ch, us (code pays fourni par la source)

Mapping AI competency and literacy assessment tools for family physicians in primary care: a scoping review protocol

Diaa Chalati, Samira Abbasgholizadeh-Rahimi, Mark J. Yaffe, Danielle Fox

This research project aims to examine how family physicians and family medicine residents understand, evaluate, and apply artificial intelligence (AI) tools in clinical practice, with a particular focus on cardiovascular disease (CVD) prevention. Although AI-enabled tools are increasingly introduced into healthcare settings, …

AI Methods for Implementation Science (AIM-IS)

Guillaume Fontaine, Susan Michie, Rinad S. Beidas, Elvin Geng et autres

AIM-IS will deliver a suite of products, including a framework, toolkit and reporting standard, to support the specification, governance, evaluation, and reporting of AI in implementation science. Together, these products aim to strengthen transparency, comparability, accountability, and attention to equity in how …

01. Protocol

Guillaume Fontaine, Rinad S. Beidas, Elvin Geng, Ruopeng An et autres

AIM-IS protocol and core project documents.