Peranut Chotcomwongse
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View article: International consensuses and guidelines on rhegmatogenous retinal detachment (RRD) surgery by the Asia-Pacific Vitreo-retina Society (APVRS), the Academy of Asia-Pacific Professors of Ophthalmology (AAPPO) and the Academia Retina Internationalis (ARI)
International consensuses and guidelines on rhegmatogenous retinal detachment (RRD) surgery by the Asia-Pacific Vitreo-retina Society (APVRS), the Academy of Asia-Pacific Professors of Ophthalmology (AAPPO) and the Academia Retina Internationalis (ARI) Open
This Delphi study provides structured guidance on RRD management while identifying areas of ongoing debate. Consistently, individualized surgical strategy, meticulous vitreous management, and careful postoperative care remain central to op…
View article: Embodied artificial intelligence in ophthalmology
Embodied artificial intelligence in ophthalmology Open
Embodied artificial intelligence (EAI) integrates perception, memory, reasoning and action through physical interaction, enabling multimodal dynamic learning and real-time feedback. In ophthalmology, EAI supports data-driven decision-makin…
View article: Revisiting the Role of Intravitreal Triamcinolone in Diabetic Macular Edema: 12-Month Outcomes after Bevacizumab Failure
Revisiting the Role of Intravitreal Triamcinolone in Diabetic Macular Edema: 12-Month Outcomes after Bevacizumab Failure Open
Repeated IVTA treatments for DME refractory to bevacizumab over a 12-month period demonstrated efficacy and appeared to have a comparable safety profile. Patients with thinner CMT before IVTA treatment had a greater probability of remainin…
View article: Transforming Non-Digital, Clinical Workflows to Detect and Track Vision-Threatening Diabetic Retinopathy via a Digital Platform Integrating Artificial Intelligence: Implementation Research
Transforming Non-Digital, Clinical Workflows to Detect and Track Vision-Threatening Diabetic Retinopathy via a Digital Platform Integrating Artificial Intelligence: Implementation Research Open
View article: Utilizing Large Language Models in Ophthalmology: The Current Landscape and Challenges
Utilizing Large Language Models in Ophthalmology: The Current Landscape and Challenges Open
A large language model (LLM) is an artificial intelligence (AI) model that uses natural language processing (NLP) to understand, interpret, and generate human-like language responses from unstructured text input. Its real-time response cap…
View article: Integrated image-based deep learning and language models for primary diabetes care
Integrated image-based deep learning and language models for primary diabetes care Open
Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challenges due to a shortage of trained primary care physicians (PCPs), particularly in low-resource settings. Here, to bridge the gaps, we develo…
View article: Angiographic Report Generation for the 3<sup>rd</sup>APTOS’s Competition: Dataset and Baseline Methods
Angiographic Report Generation for the 3<sup>rd</sup>APTOS’s Competition: Dataset and Baseline Methods Open
Fundus angiography, including fundus fluorescein angiography (FFA) and indocyanine green angiography (ICGA), are essential examination tools for visualizing lesions and changes in retinal and choroidal vasculature. However, the interpretat…
View article: Assessment of Direct Costs of Admission Due to Presumed Microbial Keratitis in a Tertiary Referral Hospital in Thailand: A 7-Year Retrospective Study
Assessment of Direct Costs of Admission Due to Presumed Microbial Keratitis in a Tertiary Referral Hospital in Thailand: A 7-Year Retrospective Study Open
There were several key factors impacting the direct healthcare costs of severe MK treatment. Medical professional services emerged as the most substantial cost category, while longer hospital stays, older age groups, readmission cases, and…
View article: Estimated direct and indirect health care costs of severe infectious keratitis by cultured organisms in Thailand: An 8-year retrospective study
Estimated direct and indirect health care costs of severe infectious keratitis by cultured organisms in Thailand: An 8-year retrospective study Open
Purpose To evaluate the economic impact of treating severe infectious keratitis (IK) at one tertiary referral center in Thailand by analyzing the direct costs of treatment and estimating the indirect costs, and to determine whether culture…
View article: Influence of Different Types of Retinal Cameras on the Performance of Deep Learning Algorithms in Diabetic Retinopathy Screening
Influence of Different Types of Retinal Cameras on the Performance of Deep Learning Algorithms in Diabetic Retinopathy Screening Open
Background: The aim of this study was to assess the performance of regional graders and artificial intelligence algorithms across retinal cameras with different specifications in classifying an image as gradable and ungradable. Methods: St…
View article: Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs
Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs Open
The DLS can generalize to multiple international populations with an accuracy exceeding that of experts. The clinical value of this DLS to reduce false-positive referrals, thus decreasing the burden on specialist eye care, warrants a prosp…
View article: Poor prognostic factors in post-traumatic endophthalmitis following open globe injury
Poor prognostic factors in post-traumatic endophthalmitis following open globe injury Open
AIM: To demonstrate prognostic factors for poor visual outcome in patients with post-traumatic endophthalmitis (PTE) following open globe injury. METHODS: A retrospective study was conducted on 66 patients (66 eyes) with PTE following open…
View article: Subclinical subretinal fluid detectable only by optical coherence tomography in choroidal naevi—the SON study
Subclinical subretinal fluid detectable only by optical coherence tomography in choroidal naevi—the SON study Open
View article: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program Open
View article: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program Open
View article: Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program
Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program Open
Deep learning algorithms have been used to detect diabetic retinopathy (DR) with specialist-level accuracy. This study aims to validate one such algorithm on a large-scale clinical population, and compare the algorithm performance with tha…
View article: Assessment of Vascular Change Using Swept-Source Optical Coherence Tomography Angiography: A New Theory Explains Central Visual Loss in Behcet’s Disease
Assessment of Vascular Change Using Swept-Source Optical Coherence Tomography Angiography: A New Theory Explains Central Visual Loss in Behcet’s Disease Open
Objective . To evaluate retinal vascular structural change in ocular Behcet’s using optical coherence tomography angiography (OCTA) and fluorescein angiography (FA). Methods . An analytic cross-sectional study of 37 eyes of 21 Behcet’s uve…