ReviewCureus2024
Artificial Intelligence and Healthcare Simulation: The Shifting Landscape of Medical Education.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Development of AI competencies within the medical curriculum.Frontiers in medicine · 2026Pooled it
- Advancements in artificial intelligence transforming medical education: a comprehensive overview.Medical education online · 2025Pooled it
- AI literacy and competency in nursing education: preparing students and faculty members for an AI-enabled future-a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Virtual simulation experiments in medical education: technology acceptance, learning outcomes, and motivational impacts.BMC medical education · 2025Trial
- Simulator development using natural language: clinician-led innovation through artificial intelligence.Advances in simulation (London, England) · 2026Review
- Fixing Work, Not Workers: Leveraging Artificial Intelligence to Combat Burnout in Canadian Healthcare.Healthcare management forum · 2026Article
- Artificial intelligence to support debriefing in simulation-based healthcare education: a scoping review.Advances in simulation (London, England) · 2026Article
- AI integration in healthcare simulation debriefing: support or substitute?Advances in simulation (London, England) · 2026Article
- Reimagining pharmacology education.Pharmacological reviews · 2026Review
- Wearable Biosensing and Machine Learning for Data-Driven Training and Coaching Support.Biosensors · 2026Review
- Assessment of ChatGPT-5 as an Artificial Intelligence Tool for Exploring Emerging Dimensions of Clinical Simulation: A Proof-of-concept Study.Journal of medical systems · 2026Article
- Student voices: synergising artificial and human intelligence in health science education.BMC medical education · 2026Article
- The Evolving Role of AI in Simulation-Based Medical Education: A Narrative Review.Advances in medical education and practice · 2026Review
- AI literacy in undergraduate medical education: a competency-based interpretive framework for curriculum and assessment.Frontiers in medicine · 2026Review
- A primer on artificial intelligence for palliative care educators.Palliative care and social practice · 2026Review
- Integrating Mind Mapping with Virtual Simulation: A Cognitive Scaffolding for Clinical Reasoning in Residency.International journal of women's health · 2026Article
- Integration of Artificial Intelligence Into Extended Reality Debriefing in Healthcare Simulation: A Narrative Review.Advances in medical education and practice · 2026Review
- Progress in educational theory and translational implementation of simulation-based education for healthcare professionals: an integrative analysis from theory to effectiveness.Frontiers in medicine · 2026Review
- "Script Killing" immersive teaching improves the competency of emergency medicine residents rotating across departments.Frontiers in public health · 2026Article
- From Caution to Readiness: The Case for Responsible AI in Pediatric Oncology Education.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The impact of artificial intelligence (AI) will be felt not only in the arena of patient care and deliverable therapies but will also be uniquely disruptive in medical education and healthcare simulation (HCS), in particular. As HCS is intertwined with computer technology, it offers opportunities for rapid scalability with AI and, therefore, will be the most practical place to test new AI applications. This will ensure the acquisition of AI literacy for graduates from the country's various healthcare professional schools. Artificial intelligence has proven to be a useful adjunct in developing interprofessional education and team and leadership skills assessments. Outcome-driven medical simulation has been extensively used to train students in image-centric disciplines such as radiology, ultrasound, echocardiography, and pathology. Allowing students and trainees in healthcare to first apply diagnostic decision support systems (DDSS) under simulated conditions leads to improved diagnostic accuracy, enhanced communication with patients, safer triage decisions, and improved outcomes from rapid response teams. However, the issue of bias, hallucinations, and the uncertainty of emergent properties may undermine the faith of healthcare professionals as they see AI systems deployed in the clinical setting and participating in diagnostic judgments. Also, the demands of ensuring AI literacy in our healthcare professional curricula will place burdens on simulation assets and faculty to adapt to a rapidly changing technological landscape. Nevertheless, the introduction of AI will place increased emphasis on virtual reality platforms, thereby improving the availability of self-directed learning and making it available 24/7, along with uniquely personalized evaluations and customized coaching. Yet, caution must be exercised concerning AI, especially as society's earlier, delayed, and muted responses to the inherent dangers of social media raise serious questions about whether the American government and its citizenry can anticipate the security and privacy guardrails that need to be in place to protect our healthcare practitioners, medical students, and patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.