Artificial intelligence (AI) has seen significant progress in medical diagnostics, particularly in image and video analysis. This review focuses on the application of AI in analyzing in vivo confocal microscopy (IVCM) images for corneal diseases. The cornea, as an exposed and delicate part of the body, necessitates the precise diagnoses of various conditions. Convolutional neural networks (CNNs), a key component of deep learning, are a powerful tool for image data analysis. This review highlights AI applications in diagnosing keratitis, dry eye disease, and diabetic corneal neuropathy. It discusses the potential of AI in detecting infectious agents, analyzing corneal nerve morphology, and identifying the subtle changes in nerve fiber characteristics in diabetic corneal neuropathy. However, challenges still remain, including limited datasets, overfitting, low-quality images, and unrepresentative training datasets. This review explores augmentation techniques and the importance of feature engineering to address these challenges. Despite the progress made, challenges are still present, such as the “black-box” nature of AI models and the need for explainable AI (XAI). Expanding datasets, fostering collaborative efforts, and developing user-friendly AI tools are crucial for enhancing the acceptance and integration of AI into clinical practice.

Background: The number of corneal transplants is rising, with the aim to treat a spectrum of diseases ranging from dystrophies to corneal opacities caused by trauma or chemical burns. Refractive outcomes after this procedure are often impossible to predict and associated with high levels of astigmatism. However, there are many techniques that affect the reduction of astigmatism and improve the quality of life of patients. Objectives: The aim was to compare the improvement in postoperative visual acuity (logMAR) and amount of corneal astigmatism (Diopters) after corneal keratoplasty in patients who additionally underwent a surgical procedure, which affects the reduction in postoperative astigmatism, and to determine the most effective method. Search Methods and Selection Criteria: A thorough search was carried out across online electronic databases including PubMed, Embrase, Ovid MEDLINE, Scopus, and Web of Science, using combinations containing the following phrases: postoperative astigmatism, post-keratoplasty astigmatism, anterior lamellar keratoplasty (ALK), deep anterior lamellar keratoplasty (DALK), posterior lamellar keratoplasty, endothelial keratoplasty (EK), penetrating keratoplasty (PK), corneal transplant, keratoplasty, refractive surgery, kerato-refractive surgery, laser in situ keratomileusis (LASIK), and femtosecond LASIK. This was to determine all English-language publications that discuss refractive operations for postoperative or post-keratoplasty astigmatism. These bibliographies were searched for English-language publications published between 2010 and 2023. We proceeded to review each detected record’s reference list. Data Extraction: Study characteristics such as study design, sample size, participant information, operations performed, and clinical outcomes were all extracted. Data Statistical Analyses: The Comprehensive Meta-Analysis software (version 3.3.070, 2014) was used to perform the analysis. The threshold of 0.05 for p-values was considered statistically significant. All effect sizes are reported as standardized differences (Std diff) in means with a 95% confidence interval (CI) and visualized graphically as forest plots. Publication bias is presented as a funnel plot of standard error by Std diff in means. Four methods were used to evaluate the heterogeneity among the studies: Q-value, I², chi-square (χ²), and tau-squared. Main Results: We included 21 studies that randomized 1539 eyes that underwent corneal transplantation surgery either by PKP, DALK, or DSEAK techniques. The results showed the most significant improvement in the visual acuity and significant decrease in the corneal astigmatism after laser surgery procedures, like femtosecond-assisted keratotomy after DALK and PKP and LASIK after DSEAK.

Background: Managing post-keratoplasty astigmatism remains challenging. Even though graft viability is the main concern in keratoplasty, astigmatism might hinder vision recovery following a successful corneal transplant. Photorefractive keratectomy (PRK) and topography-guided PRK may be options for correcting refractive errors in patients who underwent keratoplasty. The aim of the study was to compare the results of PRK and topography-guided PRK in patients who had undergone corneal keratoplasty. Methods: This study was conducted at the Chair and Ophthalmology Clinic of the Medical University of Silesia, at the Railway Hospital Katowice, from 2023 to 2024. Patients who underwent penetrating keratoplasty due to keratoconus or corneal scar (post-traumatic and post-inflammatory) with a residual spherical myopic or mixed myopic astigmatic refractive defect were included in this study. The studied patients were divided into two groups: 15 patients underwent PRK and 15 patients underwent topography-guided PRK. Each participant underwent a preoperative examination, including uncorrected visual acuity (UCVA) and best spectacle-corrected visual acuity (BSCVA) measured on the Snellen chart (LCD panel for visual acuity testing Frey CP-400, Optotech Medical, Niepołomnice, Niepołomice, Poland), cycloplegic refraction, corneal pachymetry and topography (Schwind Sirius+, Pentacam), wavefront aberrations (Schwind Peramis, Pentacam), applanation tonometry, and anterior and posterior segment examinations, conducted at baseline and 1, 3, 6, and 12 months. Results: Keratoconus was the most common reason for keratoplasty (80% vs. 60%). Following PRK, the mean KI in group (1) decreased significantly to 43.88 ± 3.64 (p < 0.001), and in the group (2), the mean diopters decreased significantly after the intervention to 46.46 ± 2.80 (p < 0.001). The mean spherical refractive error in group (2) changed significantly after the intervention, reaching −2.72 ± 1.28 D (p < 0.001). The mean cylinder in group (1) changed significantly after PRK to have a mean of −2.75 ± 1.44 D (p < 0.001). Also, in group (2), it changed significantly after the intervention to have a mean of −2.95 ± 1.99 D (p < 0.001). There was a significant increase in both uncorrected visual acuity (UCVA) and best-corrected visual acuity (BCVA) after topography-guided PRK at all the follow-up points of 1, 3, 6, and 12 months (p < 0.001). The mean higher-order corneal aberrations (HOAs) after topography-guided PRK were 1.33 ± 0.50, ranging from 0.22 to 2.34 (p < 0.001). Conclusions: Topography-guided PRK is safer and more effective in correcting aberrations and refractive errors after corneal keratoplasty than regular PRK. Additionally, topography-guided PRK reduces high-order aberrations by utilizing advanced topographic mapping of the cornea, enabling precise customization of the treatment to address individual corneal surface irregularities.

Background/Objectives: The accurate measurement of corneal epithelial thickness (CET) and pachymetry is essential for diagnosing and managing corneal conditions such as keratoconus and for optimizing outcomes in refractive surgery. This study aimed to evaluate the agreement and repeatability of measurements between two anterior segment optical coherence tomography (AS-OCT) devices—OCT REVO FC 130 and Optovue RTV XR Avanti—in healthy individuals. Methods: This prospective, cross-sectional, observational study included 53 healthy participants. High-quality scans were performed using both devices by two trained operators. Agreement between devices was assessed using Bland–Altman analysis and Deming regression, while repeatability and reproducibility were evaluated through intraclass correlation coefficients (ICCs) and test–retest variability (TRT). Results: Both devices demonstrated high repeatability and reproducibility across central and peripheral zones, with ICCs exceeding 0.98 for central pachymetry and stroma measurements. Repeatability and reproducibility were slightly higher for the OCT REVO FC 130 compared to the Optovue RTV XR Avanti, particularly for central measurements. Bland–Altman analysis revealed a mean difference near zero with narrow limits of agreement for most parameters, indicating strong inter-device agreement. Variability in CET measurements was higher, potentially due to the inclusion of tear film in OCT segmentation. Conclusions: The OCT REVO FC 130 and Optovue RTV XR Avanti offer comparable reliability and precision for corneal thickness measurements in healthy eyes, with the REVO demonstrating slightly better repeatability and reproducibility. These findings support the use of either device in clinical practice and research for corneal assessment.

Dentofacial inflammation resulting from untreated dental caries is a serious disease that can spread to deeper tissues of the neck and face. This study aimed to analyze salivary cytokine profiles as potential biomarkers of acute odontogenic infections in children. The study group consisted of 28 children aged 3–17 years old with acute dentofacial infections (DI) and a control group (caries experience, CE) of 52 children aged 4–17 years old with uncomplicated dental caries. The cytokine profile was analyzed using the Bio-Plex Pro Human Cytokine 27-Plex kit in the saliva of children in both groups. The levels of IL-4, IL-15, FGF-2, G-CSF, and PDGF-BB were significantly increased in children with dentofacial infections compared to the control group. In contrast, the levels of other cytokines, such as IL-2, IL-7, IL-9, IL-13, GM-CSF, and IFN-γ, did not show statistically significant differences between these two groups. IL-4, IL-15, FGF-2, G-CSF, and PDGF-BB may serve as potential selective biomarkers of inflammation of the oral cavity in children. These biomarkers can be useful in identifying and monitoring the progress and treatment of bacterial infections resulting in dentofacial inflammation.

Purpose: To investigate the relationship between layer-specific corneal structural changes and optical aberrations in Fuchs Endothelial Corneal Dystrophy (FECD), using Scheimpflug imaging and anterior segment optical coherence tomography (AS-OCT). Setting: Academic tertiary referral center. Design: Prospective, cross-sectional observational study. Methods: A total of 130 eyes (70 FECD, 60 controls) underwent high-resolution imaging using Pentacam AXL Wave and REVO HR OCT. Parameters measured included corneal thickness, Descemet’s membrane thickness, epithelial thickness, keratometry, densitometry, and wavefront aberrations. Correlation and multiple regression analyses were performed. Principal component analysis (PCA) identified major structural and optical contributors to visual quality. Results: Anterior higher-order aberrations (HOAs) significantly correlated with Kmax, anterior densitometry, and Descemet’s membrane thickness. Posterior HOAs correlated with central corneal thickness and posterior densitometry. Regression models identified Kmax and trefoil components as significant predictors of posterior HOAs. PCA revealed anterior HOAs, stromal haze, and optical degradation as dominant contributors to visual decline. These features varied with FECD grade and inversely correlated with best-corrected visual acuity (BCVA). Conclusions: Corneal aberrations in FECD are driven by layer-specific structural changes, notably anterior stromal haze and Descemet’s membrane thickening. These precede clinical edema and contribute to early visual impairment. Combined AS-OCT and aberrometry improve disease staging and surgical planning.