Ophthalmology

Ophthalmology is the medical specialty devoted to the anatomy, physiology and diseases of the eye and its adnexa. It encompasses vision science—from refraction and ocular optics to neural processing of images—and the diagnosis and management of disorders affecting the cornea, lens, retina, optic nerve and ocular vasculature. Key subspecialties include corneal and external disease, glaucoma, cataract and refractive surgery, retinal and vitreous care, ocular oncology, paediatric ophthalmology and oculoplastics. Modern practice relies on high-resolution imaging (optical coherence tomography, fundus photography, ultrasonography), microsurgical techniques (phacoemulsification, vitrectomy, keratoplasty) and targeted pharmacotherapy (anti-VEGF injections, topical agents, implantable drug depots). Advances in artificial intelligence and gene therapy are reshaping screening for diabetic retinopathy and inherited retinal dystrophies. Globally, uncorrected refractive error and cataract remain leading causes of visual impairment; innovations in affordability, portability and telemedicine are extending eye care into underserved regions. Preservation of vision improves quality of life, productivity and safety, underlining the public-health importance of ophthalmic research and practice.

Research from Nature Portfolio

A 2023 study quantified how nasal pterygium alters corneal optics by measuring induced astigmatism and higher-order aberrations on spectral-domain imaging. Length, width and area of the lesion correlated strongly with with-the-rule astigmatism and specific trefoil and coma components, informing surgical planning and visual rehabilitation.

In 2022, integrated transcriptomic and network analyses of surgical pterygium specimens identified upregulated pathways in extracellular matrix remodelling, epidermal barrier formation and lipid metabolism. Reconstruction of miRNA–mRNA interaction networks revealed key regulatory clusters driving fibrotic growth, pointing toward novel molecular targets for adjuvant therapy.

Research from all publishers

Deep-learning classifiers trained on ethnically diverse retinal images now detect plus disease in retinopathy of prematurity with human-level accuracy. Both bespoke and code-free convolutional neural networks achieved areas under the curve exceeding 0.98 across external datasets, enabling scalable, low-cost screening in regions with limited specialist availability.

Five-year follow-up of a randomised trial comparing intravitreal ranibizumab versus conventional laser therapy for severe retinopathy of prematurity showed equivalent long-term visual acuity outcomes and a significantly lower incidence of high myopia in the anti-VEGF groups, supporting pharmacological intervention as a first-line option in advanced cases.

Preclinical work in a mouse model of early ROP demonstrated that fibroblast growth factor 21 (FGF21), together with adequate enteral lipids, promotes physiological retinal vascularisation and prevents subsequent pathological neovascularisation. These findings suggest metabolic modulation as a strategy to restore developmental angiogenesis and reduce later vision-threatening stages.

Ophthalmology publication trend

The graph below shows the total number of articles in ophthalmology across all publications each year (not limited to Nature Index journals).

Technical terms

Cornea: Transparent anterior ocular tissue responsible for two-thirds of the eye’s refractive power.

Retina: Neural tissue lining the back of the eye where photoreceptors convert light into electrical signals.

Neovascularisation: Growth of new blood vessels, often disordered and vision-threatening in retinal diseases.

Plus disease: A hallmark of severe retinopathy of prematurity marked by dilation and tortuosity of posterior pole vessels.

Optical coherence tomography (OCT): Non-invasive imaging modality that produces micrometre-resolution cross-sections of retinal and choroidal layers.

Anti-VEGF therapy: Intravitreal injections of vascular endothelial growth factor inhibitors to suppress abnormal vessel growth.

Deep-learning classifier: A neural network model trained to recognise complex patterns in medical images for automated disease detection.

References

1. Effect of pterygium on corneal astigmatism, irregularity and higher-order aberrations: a comparative study with normal fellow eyes. Scientific Reports (2023).
2. Transcriptomics and network analysis highlight potential pathways in the pathogenesis of pterygium. Scientific Reports (2022).
3. Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study. The Lancet Digital Health (2023).
4. Ranibizumab versus laser therapy for the treatment of very low birthweight infants with retinopathy of prematurity (RAINBOW): five-year outcomes of a randomised trial. EClinicalMedicine (2024).
5. FGF21 via mitochondrial lipid oxidation promotes physiological vascularization in a mouse model of Phase I ROP. Angiogenesis (2023).