{
  "abstract": "Artificial intelligence (AI) is entering routine care through documentation tools, decision support, and hospital operations. The central question is whether these systems improve clinical work and patient care once embedded in routine workflows, not only whether they perform well on test data. This targeted narrative review follows AI from voice dictation and ambient documentation to operating room (OR) organization, using hysteroscopy as a clinical exemplar of the transition from technical performance to clinical utility. Evidence identified through targeted searches completed on 6 September 2026 was appraised with a framework that distinguishes image-level from patient-level results, internal from independent validation, and discrimination from clinical utility. Randomized trials and multisite observational data show modest, product-dependent benefits of clinician-reviewed ambient documentation; inaccuracies persist. Evidence for patient-message drafting derives from ratings of responses to public-forum questions and supports only bounded, supervised feasibility testing. In hysteroscopy, selected models discriminate well in narrowly defined tasks, but most studies are retrospective, image-level, or internally validated, and patient-level errors in high-risk categories are seldom reported. Reported gains in OR scheduling come largely from simulation. Safe implementation requires a defined clinical need, baseline measurement, subgroup-aware local validation, accountable review, and predefined criteria for expansion or withdrawal.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Obstetrics, Gynecology and Reproduction, Dexeus University Hospital, Gran Via Carles III 71–75, 08028 Barcelona, Spain",
    "Clinique Bizet, 23 Rue Georges Bizet, 75116 Paris, France",
    "Department of Obstetrics and Gynecology, Hôpital Lariboisière, 2 Rue Ambroise Paré, 75010 Paris, France"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Sergio Haimovich",
      "orcid": "0000-0002-9476-628X"
    },
    {
      "affs": [
        1,
        2
      ],
      "name": "Afchine Fazel",
      "orcid": "0009-0008-9333-4013"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ebad5bsesw87h.bib",
  "cited_by": 0,
  "doi": "10.3390/jcm15218688",
  "fulltext_url": null,
  "id": "ebad5bsesw87h",
  "issns": [
    "2077-0383"
  ],
  "landing_url": "https://www.mdpi.com/2077-0383/15/21/8688",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-07",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/ebad5bsesw87h.ris",
  "sources": [
    {
      "first_seen": "2026-11-10T00:21:41Z",
      "native_id": "10.3390/jcm15218688",
      "source": "crossref",
      "url": "https://www.mdpi.com/2077-0383/15/21/8688"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "journal-openalex:F27",
      "subfield": "general"
    }
  ],
  "title": "Implementing Artificial Intelligence in Daily Clinical Practice, from Voice Dictation to Operating Room Organization: A Targeted Narrative Review with Hysteroscopy as a Clinical Exemplar",
  "title_text": "Implementing Artificial Intelligence in Daily Clinical Practice, from Voice Dictation to Operating Room Organization: A Targeted Narrative Review with Hysteroscopy as a Clinical Exemplar",
  "type": "peer-reviewed",
  "updated_at": "2026-11-10T00:21:41Z",
  "url": "https://research.draconitic.com/paper/ebad5bsesw87h",
  "venue": "Journal of Clinical Medicine",
  "versions": []
}