AI as a Medical Device for Ophthalmic Imaging in Europe, Australia, and the United States: Protocol for a Systematic Scoping Review of Regulated Devices.

BACKGROUND: Artificial intelligence as a medical device (AIaMD) has the potential to transform many aspects of ophthalmic care, such as improving accuracy and speed of diagnosis, addressing capacity issues in high-volume areas such as screening, and detecting novel biomarkers of systemic disease in the eye (oculomics). In order to ensure that such tools are safe for the target population and achieve their intended purpose, it is important that these AIaMD have adequate clinical evaluation to support any regulatory decision. Currently, the evidential requirements for regulatory approval are less clear for AIaMD compared to more established interventions such as drugs or medical devices. There is therefore value in understanding the level of evidence that underpins AIaMD currently on the market, as a step toward identifying what the best practices might be in this area. In this systematic scoping review, we will focus on AIaMD that contributes to clinical decision-making (relating to screening, diagnosis, prognosis, and treatment) in the context of ophthalmic imaging. OBJECTIVE: This study aims to identify regulator-approved AIaMD for ophthalmic imaging in Europe, Australia, and the United States; report the characteristics of these devices and their regulatory approvals; and report the available evidence underpinning these AIaMD. METHODS: The Food and Drug Administration (United States), the Australian Register of Therapeutic Goods (Australia), the Medicines and Healthcare products Regulatory Agency (United Kingdom), and the European Database on Medical Devices (European Union) regulatory databases will be searched for ophthalmic imaging AIaMD through a snowballing approach. PubMed and clinical trial registries will be systematically searched, and manufacturers will be directly contacted for studies investigating the effectiveness of eligible AIaMD. Preliminary regulatory database searches, evidence searches, screening, data extraction, and methodological quality assessment will be undertaken by 2 independent review authors and arbitrated by a third at each stage of the process. RESULTS: Preliminary searches were conducted in February 2023. Data extraction, data synthesis, and assessment of methodological quality commenced in October 2023. The review is on track to be completed and submitted for peer review by April 2024. CONCLUSIONS: This systematic review will provide greater clarity on ophthalmic imaging AIaMD that have achieved regulatory approval as well as the evidence that underpins them. This should help adopters understand the range of tools available and whether they can be safely incorporated into their clinical workflow, and it should also support developers in navigating regulatory approval more efficiently. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/52602.

Target Product Profile for a Machine Learning-Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods Study.

BACKGROUND: Diabetic eye screening (DES) represents a significant opportunity for the application of machine learning (ML) technologies, which may improve clinical and service outcomes. However, successful integration of ML into DES requires careful product development, evaluation, and implementation. Target product profiles (TPPs) summarize the requirements necessary for successful implementation so these can guide product development and evaluation. OBJECTIVE: This study aims to produce a TPP for an ML-automated retinal imaging analysis software (ML-ARIAS) system for use in DES in England. METHODS: This work will consist of 3 phases. Phase 1 will establish the characteristics to be addressed in the TPP. A list of candidate characteristics will be generated from the following sources: an overview of systematic reviews of diagnostic test TPPs; a systematic review of digital health TPPs; and the National Institute for Health and Care Excellence's Evidence Standards Framework for Digital Health Technologies. The list of characteristics will be refined and validated by a study advisory group (SAG) made up of representatives from key stakeholders in DES. This includes people with diabetes; health care professionals; health care managers and leaders; and regulators and policy makers. In phase 2, specifications for these characteristics will be drafted following a series of semistructured interviews with participants from these stakeholder groups. Data collected from these interviews will be analyzed using the shortlist of characteristics as a framework, after which specifications will be drafted to create a draft TPP. Following approval by the SAG, in phase 3, the draft will enter an internet-based Delphi consensus study with participants sought from the groups previously identified, as well as ML-ARIAS developers, to ensure feasibility. Participants will be invited to score characteristic and specification pairs on a scale from "definitely exclude" to "definitely include," and suggest edits. The document will be iterated between rounds based on participants' feedback. Feedback on the draft document will be sought from a group of ML-ARIAS developers before its final contents are agreed upon in an in-person consensus meeting. At this meeting, representatives from the stakeholder groups previously identified (minus ML-ARIAS developers, to avoid bias) will be presented with the Delphi results and feedback of the user group and asked to agree on the final contents by vote. RESULTS: Phase 1 was completed in November 2023. Phase 2 is underway and expected to finish in March 2024. Phase 3 is expected to be complete in July 2024. CONCLUSIONS: The multistakeholder development of a TPP for an ML-ARIAS for use in DES in England will help developers produce tools that serve the needs of patients, health care providers, and their staff. The TPP development process will also provide methods and a template to produce similar documents in other disease areas. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/50568.

Deposition keratopathy.

Material can be deposited in the cornea as a result of a wide range of systemic and ophthalmic diseases, as well as local and systemic therapies. Causes include local infection or trauma, systemic malignancy, a wide range of medications and a host of genetic and metabolic diseases. Some of these can be acutely life threatening, so generalists caring for both children and adults should have a basic awareness of the pattern and distribution of corneal deposits to facilitate timely diagnosis, investigation, management or onward referral to avoid significant morbidity or mortality. This article outlines causes of corneal deposits found in patients presenting to primary care, ophthalmic clinics or encountered on the wards to help generalists avoid missing serious pathology. It also provides insight into the natural history of underlying causative conditions and their possible treatments.

Acquired nystagmus.

Nystagmus is the repetitive to and fro movement of the eyes, which may be physiological or pathological. The movements can be horizontal, vertical, torsional or a combination of these movements. It starts by a slow movement of the eye away from the visual target. The second movement brings the eye back to the visual target. If this second movement is quick, the nystagmus is called jerk nystagmus. If the second movement is slow, the nystagmus is said to be pendular. Maintaining steady gaze is dependent upon visual fixation, the vestibulo-ocular reflex and the gaze-holding neural integrator system. Pathological nystagmus typically presents with the symptom of oscillopsia, which is the illusory movement of the surrounding environment. Nystagmus that develops outside of early infancy is termed acquired nystagmus. There may be serious underlying pathology that will require further investigation and management. This article reviews the terminology, pathophysiology, causes and treatment of acquired nystagmus.

Quantitative analysis of vitreous inflammation using optical coherence tomography in patients receiving sub-Tenon's triamcinolone acetonide for uveitic cystoid macular oedema.

BACKGROUND/AIMS: To evaluate the vitreous signals obtained on spectral domain optical coherence tomography (SD-OCT) in patients with uveitic cystoid macular oedema (CMO) and compare these signals before and after sub-Tenon's triamcinolone acetonide injection. METHODS: Retrospective study with standardised longitudinal imaging preintervention and postintervention. The study cohort comprises 22 patients (22 eyes) with uveitic CMO receiving a sub-Tenon's triamcinolone acetonide (STTA) injection. Post hoc analysis of SD-OCT images using custom software provided an 'absolute' measurement of vitreous signal intensity, which was expressed as a ratio to the retinal pigment epithelium intensity ('VIT/RPE-relative intensity') in arbitrary units. MAIN OUTCOME MEASURE: Difference in VIT/RPE-relative intensity before and after treatment. RESULTS: Treatment with STTA resulted in a significant reduction in VIT/RPE-relative intensity, which was associated with both a reduction in central retinal thickness (CRT) and improvement in visual acuity. Mean (SD) VIT/RPE-relative intensity pretreatment was 0.139 (0.074) versus 0.053 (0.028) post-treatment (p=3×10-5). Mean (SD) CRT was 581 µm (119 µm) pretreatment versus 333 µm (95 µm) post-treatment (p=2×10-8); the mean reduction in CRT was 248 (95% CI 189 to 306). The correlation coefficient between VIT/RPE-relative intensity and CRT was 0.534 (p=0.011) and between VIT/RPE-relative intensity and visual acuity was 0.702 (p=0.0001). CONCLUSIONS: This study provides evidence that the OCT-derived VIT/RPE-relative intensity may be useful as a quantitative and objective marker of disease activity and treatment response in uveitis complicated by CMO. This first longitudinal study of this novel OCT parameter is an encouraging step in the development of sensitive objective OCT-based endpoints for trials of efficacy in uveitis.