{
  "abstract": "Artificial intelligence (AI) adoption in medicine has substantially outpaced its formal integration into medical training programs. This editorial synthesizes the evidence on AI in medical education, examining rapid growth alongside thin long-term outcomes data and structural tensions across curriculum, assessment, and global equity. Technology dependence, institutional inequity, and the mismatch between AI-enabled training and AI-free board examinations emerge as under-addressed challenges. We propose a four-tier disclosure framework to standardize transparency in AI-assisted scholarship and argue that AI literacy now constitutes a core clinical competency. Governance scholarship must match the pace of capability research if the field is to advance responsibly.",
  "abstract_shown": true,
  "affiliations": [
    "AdventHealth East Orlando",
    "University at Buffalo"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Mary McLean"
    },
    {
      "affs": [
        1
      ],
      "name": "Jesus Montiel"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/cvne21rjx1ww5.bib",
  "cited_by": 0,
  "doi": "10.1186/s12245-026-01418-4",
  "fulltext_url": "https://doi.org/10.1186/s12245-026-01418-4",
  "id": "cvne21rjx1ww5",
  "issns": [
    "1865-1380",
    "1865-1372"
  ],
  "landing_url": "https://doi.org/10.1186/s12245-026-01418-4",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "RC86-88.9"
    ],
    [
      "openalex",
      "2718|Artificial Intelligence in Healthcare and Education"
    ]
  ],
  "openalex": "W7225622369",
  "pdf_url": "https://link.springer.com/content/pdf/10.1186/s12245-026-01418-4.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-15",
  "publisher": "BMC",
  "ris": "https://research.draconitic.com/paper/cvne21rjx1ww5.ris",
  "sources": [
    {
      "first_seen": "2026-11-15T15:20:57Z",
      "native_id": "03d2c3db35b54f0b83e82afc60ded1fa",
      "source": "doaj",
      "url": "https://doi.org/10.1186/s12245-026-01418-4"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2718|Artificial Intelligence in Healthcare and Education",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "The inflection point: embracing responsible artificial intelligence in medical education",
  "title_text": "The inflection point: embracing responsible artificial intelligence in medical education",
  "type": "peer-reviewed",
  "updated_at": "2026-11-15T15:20:57Z",
  "url": "https://research.draconitic.com/paper/cvne21rjx1ww5",
  "venue": "International Journal of Emergency Medicine",
  "versions": []
}