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References from Teaching the Atomic Sentence Method for Source-Verified, AI-Assisted Literature Synthesis to Clinical Health Care Professionals: Single-Cohort Feasibility and Acceptability Study. Local targets link to admitted publications; unresolved targets remain external evidence.
Barriers to scholarship in dentistry, medicine, nursing, and pharmacy practice faculty
10.5688/aj710591 · External reference
Going beyond “not enough time”: barriers to preparing manuscripts for academic medical journals
10.1080/10401334.2019.1659144 · External reference
Applications, challenges, and prospects of generative artificial intelligence empowering medical education: scoping review
10.2196/71125 · External reference
10.1145/3442188.3445922
10.1145/3442188.3445922 · External reference
The ethics of ChatGPT in medicine and healthcare: a systematic review on large language models (LLMs)
10.1038/s41746-024-01157-x · External reference
Hallucinated citations produced by generative artificial intelligence may constitute research misconduct when citations function as data in scholarly papers
10.1080/08989621.2026.2645390 · External reference
Fabrication and errors in the bibliographic citations generated by ChatGPT
10.1038/s41598-023-41032-5 · External reference
Learning to fake it: limited responses and fabricated references provided by ChatGPT for medical questions
10.1016/j.mcpdig.2023.05.004 · External reference
High rates of fabricated and inaccurate references in ChatGPT-generated medical content
10.7759/cureus.39238 · External reference
Hallucination rates and reference accuracy of ChatGPT and bard for systematic reviews: comparative analysis
10.2196/53164 · External reference
Influence of topic familiarity and prompt specificity on citation fabrication in mental health research using large language models: experimental study
10.2196/80371 · External reference
Evaluation of large language model performance and reliability for citations and references in scholarly writing: cross-disciplinary study
10.2196/52935 · External reference
AI and science: what 1,600 researchers think
10.1038/d41586-023-02980-0 · External reference
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Chatbots, generative AI, and scholarly manuscripts: WAME recommendations on chatbots and generative artificial intelligence in relation to scholarly publications
10.25100/cm.v54i3.5868 · External reference
Quotation accuracy in medical journal articles-a systematic review and meta-analysis
10.7717/peerj.1364 · External reference
Generative artificial intelligence in medical education—Policies and training at US osteopathic medical schools: descriptive cross-sectional survey
10.2196/58766 · External reference
Becoming a self-regulated learner: an overview
10.1207/s15430421tip4102_2 · External reference
A review of self-regulated learning: six models and four directions for research
10.3389/fpsyg.2017.00422 · External reference
Cognitive load during problem solving: effects on learning
10.1207/s15516709cog1202_4 · External reference
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Reporting guideline for the use of generative artificial intelligence tools in medical research: the GAMER statement
10.1136/bmjebm-2025-113825 · External reference
Cognitive Load Theory: implications for medical education: AMEE Guide No. 86
10.3109/0142159x.2014.889290 · External reference
10.1007/978-0-387-09506-6
10.1007/978-0-387-09506-6 · External reference
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The qualitative content analysis process
10.1111/j.1365-2648.2007.04569.x · External reference
A structured framework and resources to use to get your medical education work published
10.15766/mep_2374-8265.10669 · External reference
Applying conceptual and theoretical frameworks to health professions education research: an introductory workshop
10.15766/mep_2374-8265.11286 · External reference
Twelve practical tips for integrating AI into medical education: tutorial to support educators across teaching, research, administration, and ethical domains
10.2196/81297 · External reference