{
  "abstract": "Clinical laboratory medicine is fundamental to healthcare yet remains an underrecognized frontier for artificial intelligence. We propose LabARIA, a human-supervised multi-agent framework that coordinates laboratory data, quality management, workflow optimization, and operational intelligence. By integrating specialized agents under transparent governance, LabARIA enables proactive laboratory management while preserving human oversight. Laboratory medicine offers a promising environment for developing, evaluating, and translating trustworthy agentic AI into healthcare delivery.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Pathology and Laboratory and Laboratory Medicine. Weill Cornell Medicine, New York, NY, USA. hey9012@med.cornell.edu.",
    "Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.",
    "Department of Pathology and Laboratory and Laboratory Medicine. Weill Cornell Medicine, New York, NY, USA.",
    "NewYork-Presbyterian Hospital, New York, NY, USA.",
    "Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA. few2001@med.cornell.edu."
  ],
  "article_type": "review article",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "He S Yang",
      "orcid": "0000-0001-5827-992X"
    },
    {
      "affs": [
        1
      ],
      "name": "Weishen Pan"
    },
    {
      "affs": [
        2
      ],
      "name": "Melissa M Cushing"
    },
    {
      "affs": [
        3
      ],
      "name": "Peter M Fleischut"
    },
    {
      "affs": [
        4
      ],
      "name": "Fei Wang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/6d8azhyn5bysn.bib",
  "cited_by": 0,
  "doi": "10.1038/s44401-026-00163-3",
  "fulltext_url": "https://europepmc.org/articles/PMC13720000",
  "id": "6d8azhyn5bysn",
  "issns": [
    "3005-1959"
  ],
  "landing_url": "https://europepmc.org/article/MED/42957762",
  "language": "eng",
  "licence": "CC-BY-NC-ND",
  "licence_label": "CC BY-NC-ND",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Perspective"
    ],
    [
      "openalex",
      "2718|Artificial Intelligence in Healthcare and Education"
    ]
  ],
  "openalex": "W7224652870",
  "pdf_url": "https://europepmc.org/articles/PMC13720000?pdf=render",
  "pmcid": "PMC13720000",
  "pmid": "42957762",
  "published": "2026-10-28",
  "publisher": "Nature Publishing Group",
  "ris": "https://research.draconitic.com/paper/6d8azhyn5bysn.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T12:21:21Z",
      "native_id": "MED:42957762",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42957762"
    },
    {
      "first_seen": "2026-11-02T12:23:52Z",
      "native_id": "PMC13720000",
      "source": "pmc",
      "url": "https://doi.org/10.1038/s44401-026-00163-3"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2718|Artificial Intelligence in Healthcare and Education",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "An agentic framework for intelligent clinical laboratory medicine.",
  "title_text": "An agentic framework for intelligent clinical laboratory medicine.",
  "type": "peer-reviewed",
  "updated_at": "2026-11-03T12:20:57Z",
  "url": "https://research.draconitic.com/paper/6d8azhyn5bysn",
  "venue": "Npj health systems",
  "versions": []
}