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ARTIFICIAL INTELLIGENCE FOR THE EARLY DETECTION OF ECTATIC CORNEAL DISEASES: One of AI's most promising applications: New diagnostic algorithms.

Publicado en:Ophthalmology Times Vol. 49; no. 1; pp. 21 - 24
Autor principal: Ambrósio Jr, Renato
Formato: pictorial Journal Article
Publicado: MJH Life Sciences Jan2024
Acceso en línea:Ver este registro en EBSCOhost
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      place: Cranbury, New Jersey
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        atl: ARTIFICIAL INTELLIGENCE FOR THE EARLY DETECTION OF ECTATIC CORNEAL DISEASES: One of AI's most promising applications: New diagnostic algorithms.
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        au: Ambrósio Jr, Renato
        affil: President of the International Society of Refractive Surgery (ISRS)
      sug:
        subj:
          Artificial Intelligence
          Early Diagnosis
          Corneal Diseases
          Algorithms
          Pathological Conditions, Anatomical
          Keratoconus
          Diagnosis, Eye Methods
          Corneal Topography
          Motion Capture
          Biomechanics
      pubtype: Trade Publication
      doctype:
        pictorial
        Journal Article
      ougenre: Article
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    language: English
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