New technologies for eye care practitioners
Notice bibliographique
Résumé
Keywords: orthoptics, optometry, visual rehabilitation, visual therapy. In the 1920s, Mary Maddox opened a vision rehabilitation center in London, being considered the first orthoptist (an unknown profession in Spain, whose competences fall on Optics‐Optometry). Her father, Ernest E. Maddox, an ophthalmologist, had developed various instruments to investigate binocular vision. The new discipline seeks to improve the binocular state of the patient, affected by symptomatic tropias or phorias, through exercises that train eye movements, ductions, versions, vergences, fixations and saccades. Amblyopia, on the other hand, is still treated by occlusion of the fellow eye, following practices that began in the 18th century (George L. de Buffon). During the 20th century, orthoptic specialists used different instruments, which have survived to this day, for the diagnosis and treatment of deviations. Perhaps the most advanced of them is the synoptophore, capable of determining objective and subjective deviations, the presence of normal or abnormal correspondences, and the presence of suppression scotoma. The synoptophore is also used in rehabilitation, together with the aperture rule, vectograms or the Brock string. However, in the case of tropias and during the 20th century, orthoptic therapy occupies a very marginal place compared to the surgical solution. The Hubel and Wiesel experiments in the 60s and 70s were interpreted restrictively, rooting concepts such as the so‐called critical period, which discouraged any attempt to treat amblyopia beyond occlusion, particularly in adulthood. However, research carried out from the second half of the 20th century to nowadays provides evidence of the usefulness of vision rehabilitation in the treatment of strabismus and non‐strabismus visual dysfunctions, and in the recovery of amblyopia in adulthood. Basic research led by Dennis M. Levi of the University of California at Berkeley and Robert F. Hess of McGill University, as well as clinical research by the Paediatric Eye Disease Investigator Group, PEDIG, are good examples. New technologies based on computers are currently renewing and revitalizing orthoptic practice, both in diagnosis and treatment. Eye‐trackers combined or not with Virtual Reality allow (a) to record eye movements accurately and objectively, and to identify visual behaviour and deficits, and (b) to train those movements, providing positive feedback to the patient. Screens have evolved from conventional models, later 3D and finally Virtual Reality, allowing dynamic exercises and avoiding other limitations, such as postural ones. Software algorithms adapt the difficulty of the exercises to patient's performance, record therapy compliance, and store the results in the cloud for remote control of home therapy. In addition, gamification techniques allow increasing the patient's motivation and adherence to treatment. These improvements are essential in perceptual learning, the paradigm of the new visual rehabilitation model.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».