{
  "abstract": "Photorefractive Keratectomy (PRK) is a widely used laser-assisted refractive surgical technique. In some cases, it leads to temporary subepithelial fibrosis linked to visual haze, but objective and quantitative tools to monitor these symptoms are lacking. We here present a machine learning-based method for the classification of corneal images from spectral domain optical coherence tomography images recorded in vivo on standard clinical devices and use it to extract quantitative fibrosis indicators. Because of the transient nature and relative rarity of significant post-PRK haze, we trained the model on corneas presenting Fuchs’ Endothelial Corneal Dystrophy, causing similar, but permanent, fibrotic changes, and applied it to images from patients who have undergone PRK surgery. Our study shows that the model output (probability of pathological classification) combined with OCT-derived quantitative fibrosis descriptors provides an interpretable and explainable indicator of corneal healing for post-operative follow-up.",
  "abstract_shown": true,
  "affiliations": [
    "Laboratoire d'Optique et Biosciences, CNRS, INSERM, École polytechnique, Institut polytechnique de Paris, Palaiseau, France.",
    "Laboratoire d'Optique Appliquée (LOA), CNRS, ENSTA, École polytechnique, Institut polytechnique de Paris, Palaiseau, France.",
    "GRC 32, Transplantation et Thérapies Innovantes de la Cornée, Sorbonne Université, Centre Hospitalier National d'Ophtalmologie des Quinze-Vingts, Paris, France."
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Corentin Soubeiran",
      "orcid": "0009-0003-9825-6169"
    },
    {
      "affs": [
        0,
        1,
        2
      ],
      "name": "Maëlle Vilbert"
    },
    {
      "affs": [
        2
      ],
      "name": "Benjamin Memmi"
    },
    {
      "affs": [
        2
      ],
      "name": "Cristina Georgeon"
    },
    {
      "affs": [
        2
      ],
      "name": "Vincent Borderie",
      "orcid": "0000-0002-1395-8483"
    },
    {
      "affs": [
        0
      ],
      "name": "Anatole Chessel",
      "orcid": "0000-0002-1326-6305"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Karsten Plamann"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bz0jmzzfqpwgg.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0328320",
  "fulltext_url": "https://europepmc.org/articles/PMC13690194",
  "id": "bz0jmzzfqpwgg",
  "issns": [
    "1932-6203"
  ],
  "landing_url": "https://doi.org/10.1371/journal.pone.0328320",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2741|Corneal surgery and disorders"
    ],
    [
      "plos",
      "/Biology and life sciences/Anatomy/Ocular system/Ocular anatomy/Cornea"
    ],
    [
      "plos",
      "/Biology and life sciences/Developmental biology/Fibrosis"
    ],
    [
      "plos",
      "/Computer and information sciences/Artificial intelligence/Machine learning"
    ],
    [
      "plos",
      "/Computer and information sciences/Computer architecture/User interfaces/Graphical user interfaces"
    ],
    [
      "plos",
      "/Engineering and technology/Electronics engineering/Computer engineering/Man-computer interface/Graphical user interfaces"
    ],
    [
      "plos",
      "/Medicine and health sciences/Anatomy/Ocular system/Ocular anatomy/Cornea"
    ],
    [
      "plos",
      "/Medicine and health sciences/Medical conditions/Eye diseases/Corneal disorders"
    ],
    [
      "plos",
      "/Medicine and health sciences/Ophthalmology/Eye diseases/Corneal disorders"
    ],
    [
      "plos",
      "/Medicine and health sciences/Surgical and invasive medical procedures"
    ],
    [
      "plos",
      "/Medicine and health sciences/Surgical and invasive medical procedures/Ophthalmic procedures/Keratectomy/Photorefractive keratectomy"
    ],
    [
      "plos",
      "/Research and analysis methods/Imaging techniques"
    ]
  ],
  "openalex": "W7223246278",
  "pdf_url": "https://europepmc.org/articles/PMC13690194?pdf=render",
  "pmcid": "PMC13690194",
  "pmid": "42911951",
  "published": "2026-10-22",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/bz0jmzzfqpwgg.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:23Z",
      "native_id": "10.1371/journal.pone.0328320",
      "source": "plos",
      "url": "https://doi.org/10.1371/journal.pone.0328320"
    },
    {
      "first_seen": "2026-10-30T12:20:10Z",
      "native_id": "MED:42911951",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42911951"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "plos:developmental biology",
      "subfield": "developmental-biology"
    },
    {
      "field": "medicine",
      "origin": "plos:anatomy",
      "subfield": "physiology"
    },
    {
      "field": "medicine",
      "origin": "plos:surgical and invasive medical procedures",
      "subfield": "surgery"
    }
  ],
  "title": "Machine learning quantitative OCT derived fibrosis indicators for corneal haze evaluation",
  "title_text": "Machine learning quantitative OCT derived fibrosis indicators for corneal haze evaluation",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:20:10Z",
  "url": "https://research.draconitic.com/paper/bz0jmzzfqpwgg",
  "venue": "PLOS One",
  "versions": []
}