ArticleEye (London, England)2023
Automated extraction of clinical measures from videos of oculofacial disorders using machine learning: feasibility, validity and reliability.
Article in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Interrater reliability of photographic assessment of thyroid eye disease using the VISA classification.International ophthalmology · 2024Trial
- A multi-category eye image dataset for AI-based segmentation and analysis of eyelid disorders.Scientific data · 2026Article
- Artificial intelligence-driven virtual reality eye-tracking for the objective measurement of MRD1 and MRD2 in blepharoptosis.Scientific reports · 2026Article
- Deep Learning-based Assessment of Eyelid and Periorbital Parameters: Assisting Diagnosis and Treatment Planning in Blepharoptosis.Journal of medical systems · 2026Article
- Efficacy of isolated periocular botulinum toxin A injections versus periocular and adjunctive lower facial injections in hemifacial spasm: a randomized, controlled, noninferiority, crossover trial.Annals of medicine · 2025Article
- Oculoplastics and Augmented Intelligence: A Literature Review.Journal of clinical medicine · 2025Article
- Smartphone video-based early diagnosis of blepharospasm using dual cross-attention modeling enhanced by facial pose estimation.NPJ digital medicine · 2025Article
- Diagnosing facial synkinesis using artificial intelligence to advance facial palsy care.Scientific reports · 2025Article
- Artificial intelligence to automate assessment of ocular and periocular measurements.European journal of ophthalmology · 2025Article
- Automated analysis of spontaneous eye blinking in patients with acute facial palsy or facial synkinesis.Scientific reports · 2024Article
- Diagnosing lagophthalmos using artificial intelligence.Scientific reports · 2023Article
- Artificial intelligence in oculoplastics: Novel applications and future prospects.Taiwan journal of ophthalmologyReview
- Development and Validation of a Semiautomated Tool for Measuring Periorbital Distances.Ophthalmology scienceArticle
- Facial artificial intelligence in ophthalmology and medicine: fundamental and transformative applications.Therapeutic advances in ophthalmologyReview
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo determine the feasibility, validity and reliability of automatically extracting clinically meaningful eyelid measurements from consumer-grade videos of individuals with oculofacial disorders.
methodsA custom computer program was designed to automatically extract clinical measures from consumer-grade videos. This program was applied to publicly available videos of individuals with oculofacial disorders, and age-matched controls. The primary outcomes were margin reflex distance 1 (MRD1) and 2 (MRD2), blink lagophthalmos, and ocular surface area exposure. Test-retest reliability was evaluated using Bland-Altman analysis to compare the agreement in obtained measures between separate videos of the same individual taken within 48 h of each other.
resultsMRD1 was reduced in individuals with ptosis versus controls (2.2 mm versus 3.4 mm, p < 0.001), and increased in individuals with facial nerve palsy (FNP) (3.9 mm, p = 0.049) and thyroid eye disease (TED) (4.1 mm; p = 0.038). Blink lagophthalmos was increased in individuals with FNP (3.7 mm); p < 0.001) and those with TED (0.1 mm, p = 0.003) versus controls (0.0 mm). Ocular surface exposure was reduced in individuals with ptosis compared with controls (12.2 mm
conclusionsThe presented program is capable of taking consumer grade videos of patients with oculofacial disease and providing clinically meaningful and reliable eyelid measurements that show promising validity.
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