Nabil Zary

Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review

2019 · 641 Zit. · JMIR Medical Education

Virtual Patient Simulations in Health Professions Education: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration

2019 · 520 Zit. · Journal of Medical Internet Research

A Conceptual Analytics Model for an Outcome-Driven Quality Management Framework as Part of Professional Healthcare Education

2015 · 10 Zit. · JMIR Medical Education

Feasibility and Educational Value of Clinical Cases Generated Using Large Language Models

2024 · 10 Zit. · Studies in health technology and informatics

Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review (Preprint)

2019 · 5 Zit.

AI Literacy Framework (ALiF): A Progressive Competency Development Protocol for Higher Education v1

2024 · 4 Zit.

Artificial Intelligence in Narrative Feedback Analysis for Competency-Based Medical Education: A Review

2025 · 3 Zit. · Studies in health technology and informatics

Generative Artificial Intelligence and Its Role in the Development of Clinical Cases in Medical Education: A Scoping Review Protocol

2025 · 2 Zit. · Preprints.org

Balancing Efficiency and Depth: A Systematic Review of Artificial Intelligence’s Impact on Research Competencies Across the Research Lifecycle

2025 · 1 Zit. · Preprints.org

Assessment of Clinical Information Quality in Digital Health Technologies: An International eDelphi Study

2022 · 0 Zit. · SSRN Electronic Journal

Scoping Review Protocol: Artificial Intelligence in Anesthesia Education v1

2025 · 0 Zit.

Assessment of clinical information quality in digital health technologies: an international eDelphi study (Preprint)

2022 · 0 Zit.

Scoping Review Protocol: Artificial Intelligence in Critical Care Education v1

2025 · 0 Zit.

AI Literacy Framework (ALiF): A Comprehensive Approach to Developing AI Competencies in Educational and Healthcare Settings

2025 · 0 Zit. · Preprints.org

FEASIBILITY IN USING DE-IDENTIFIED PATIENT DATA TO ENRICH ARTIFICIAL APPLICATIONS IN MEDICAL EDUCATION

2019 · 0 Zit. · EDULEARN proceedings