{
  "abstract": "Tens of thousands of AI diagnostic tools have been authorised for clinical diagnosis worldwide, justified primarily by benchmark accuracy (performance on a fixed, curated test dataset), a number that says little about what the tool will do at the bedside. The field rests on three flawed foundations: datasets that do not reflect the populations served, development pipelines that exclude clinicians, and regulatory pathways that mistake on-paper accuracy for evidence of benefit. Closing the gap requires global coordination and the political will to treat clinical validation as a prerequisite rather than an afterthought.",
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  "affiliations": [
    "Makerere University, School of Public Health, Kampala, Uganda"
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  "article_type": "Opinion",
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
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        0
      ],
      "name": "Alex Mirugwe"
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  "bibtex": "https://research.draconitic.com/paper/bmbg24mgtem97.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pdig.0001774",
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  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
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  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
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  "native_subjects": [
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  "pdf_url": "https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0001774&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-06",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/bmbg24mgtem97.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:30Z",
      "native_id": "10.1371/journal.pdig.0001774",
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      "url": "https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0001774"
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  "subjects": [
    {
      "field": "biology",
      "origin": "plos:ecology",
      "subfield": "ecology"
    },
    {
      "field": "biology",
      "origin": "plos:biotechnology",
      "subfield": "systems-synthetic"
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    {
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      "origin": "plos:epidemiology",
      "subfield": "epidemiology-public-health"
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  ],
  "title": "When the algorithm passes the test but fails the patient",
  "title_text": "When the algorithm passes the test but fails the patient",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:30Z",
  "url": "https://research.draconitic.com/paper/bmbg24mgtem97",
  "venue": "PLOS Digital Health",
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