Asia-Pacific Journal of Ophthalmology This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Revisiting the Problem of Optic Nerve Detection in a Retinal Image Using Automated Machine Learning
No abstract available (Source: Asia-Pacific Journal of Ophthalmology)
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Letters to the Editor Source Type: research

Aspects of Treating Uveitis With Local and Systemic Therapies
No abstract available (Source: Asia-Pacific Journal of Ophthalmology)
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Letters to the Editor Source Type: research

Outcomes of an Asynchronous Virtual Glaucoma Clinic in Monitoring Patients at Low Risk of Glaucoma Progression in Singapore
Conclusions: GLOC is a time-efficient, cost-saving, and sustainable model of care for managing patients with low risk of glaucoma progression. It was well received by patients and freed up the conventional clinic to treat patients with complex needs. (Source: Asia-Pacific Journal of Ophthalmology)
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Original Study Source Type: research

Impact and Challenges of Integrating Artificial Intelligence and Telemedicine into Clinical Ophthalmology
Aging populations and worsening burden of chronic, treatable disease is increasingly creating a global shortfall in ophthalmic care provision. Remote and automated systems carry the promise to expand the scale and potential of health care interventions, and reduce strain on health care services through safe, personalized, efficient, and cost-effective services. However, significant challenges remain. Forward planning in service design is paramount to safeguard patient safety, trust in digital services, data privacy, medico-legal implications, and digital exclusion. We explore the impact and challenges facing patients and c...
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Review Article Source Type: research

Economic Evaluations of Artificial Intelligence in Ophthalmology
Artificial intelligence (AI) is expected to cause significant medical quality enhancements and cost-saving improvements in ophthalmology. Although there has been a rapid growth of studies on AI in the recent years, real-world adoption of AI is still rare. One reason may be because the data derived from economic evaluations of AI in health care, which policy makers used for adopting new technology, have been fragmented and scarce. Most data on economics of AI in ophthalmology are from diabetic retinopathy (DR) screening. Few studies classified costs of AI software, which has been considered as a medical device, into direct ...
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Review Article Source Type: research

Considerations for Artificial Intelligence Real-World Implementation in Ophthalmology: Providers’ and Patients’ Perspectives
Artificial Intelligence (AI), in particular deep learning, has made waves in the health care industry, with several prominent examples shown in ophthalmology. Despite the burgeoning reports on the development of new AI algorithms for detection and management of various eye diseases, few have reached the stage of regulatory approval for real-world implementation. To better enable real-world translation of AI systems, it is important to understand the demands, needs, and concerns of both health care professionals and patients, as providers and recipients of clinical care are impacted by these solutions. This review outlines ...
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Review Article Source Type: research

Ethics of Artificial Intelligence in Medicine and Ophthalmology
Conclusions: There are multiple stakeholders in the ethical issues surrounding AI in medicine and ophthalmology. Attention to the various aspects of ethics related to AI is important especially with the expanding use of AI. Solutions of ethical problems are envisioned to be multifactorial. (Source: Asia-Pacific Journal of Ophthalmology)
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Review Article Source Type: research

Deep Learning for Retinal Image Quality Assessment of Optic Nerve Head Disorders
Deep learning (DL)-based retinal image quality assessment (RIQA) algorithms have been gaining popularity, as a solution to reduce the frequency of diagnostically unusable images. Most existing RIQA tools target retinal conditions, with a dearth of studies looking into RIQA models for optic nerve head (ONH) disorders. The recent success of DL systems in detecting ONH abnormalities on color fundus images prompts the development of tailored RIQA algorithms for these specific conditions. In this review, we discuss recent progress in DL-based RIQA models in general and the need for RIQA models tailored for ONH disorders. Finall...
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Review Article Source Type: research

Artificial Intelligence in Cornea, Refractive Surgery, and Cataract: Basic Principles, Clinical Applications, and Future Directions
Corneal diseases, uncorrected refractive errors, and cataract represent the major causes of blindness globally. The number of refractive surgeries, either cornea- or lens-based, is also on the rise as the demand for perfect vision continues to increase. With the recent advancement and potential promises of artificial intelligence (AI) technologies demonstrated in the realm of ophthalmology, particularly retinal diseases and glaucoma, AI researchers and clinicians are now channeling their focus toward the less explored ophthalmic areas related to the anterior segment of the eye. Conditions that rely on anterior segment imag...
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Review Article Source Type: research

Interpreting Deep Learning Studies in Glaucoma: Unresolved Challenges
Deep learning algorithms as tools for automated image classification have recently experienced rapid growth in imaging-dependent medical specialties, including ophthalmology. However, only a few algorithms tailored to specific health conditions have been able to achieve regulatory approval for autonomous diagnosis. There is now an international effort to establish optimized thresholds for algorithm performance benchmarking in a rapidly evolving artificial intelligence field. This review examines the largest deep learning studies in glaucoma, with special focus on identifying recurrent challenges and limitations within thes...
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Review Article Source Type: research

Deep Learning-Based Optical Coherence Tomography and Optical Coherence Tomography Angiography Image Analysis: An Updated Summary
Deep learning (DL) is a subset of artificial intelligence based on deep neural networks. It has made remarkable breakthroughs in medical imaging, particularly for image classification and pattern recognition. In ophthalmology, there are rising interests in applying DL methods to analyze optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) images. Studies showed that OCT and OCTA image evaluation by DL algorithms achieved good performance for disease detection, prognosis prediction, and image quality control, suggesting that the incorporation of DL technology could potentially enhance the a...
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Review Article Source Type: research

Virtual Reality and Augmented Reality in Ophthalmology: A Contemporary Prospective
Conclusions: Ophthalmology is a field of medicine that is well suited for the use of VR/AR. However, further longitudinal studies examining the practical feasibility, efficacy, and safety of such novel technologies, the cost-effectiveness, and medical/legal considerations are still needed. We believe that time will indeed foster further technological advances and lead to widespread use of VR/AR in routine ophthalmic practice. (Source: Asia-Pacific Journal of Ophthalmology)
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Review Article Source Type: research

Anterior Segment and Others in Teleophthalmology: Past, Present, and Future
Teleophthalmology, a subfield of telemedicine, has recently been widely applied in ophthalmic disease management, accelerated by ubiquitous connectivity via mobile computing and communication applications. Teleophthalmology has strengths in overcoming geographic barriers and broadening access to medical resources, as a supplement to face-to-face clinical settings. Eyes, especially the anterior segment, are one of the most researched superficial parts of the human body. Therefore, ophthalmic images, easily captured by portable devices, have been widely applied in teleophthalmology, boosted by advancements in software and ha...
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Review Article Source Type: research

Augmented Intelligence in Ophthalmology: The Six Rights
No abstract available (Source: Asia-Pacific Journal of Ophthalmology)
Source: Asia-Pacific Journal of Ophthalmology - May 1, 2021 Category: Opthalmology Tags: Editorial Source Type: research

Outcomes of Patients with Herpes Simplex Keratitis Before and After the Implementation of a New Treatment Guideline in Sydney, Australia
No abstract available (Source: Asia-Pacific Journal of Ophthalmology)
Source: Asia-Pacific Journal of Ophthalmology - March 1, 2021 Category: Opthalmology Tags: Letter to the Editor Source Type: research