The Predictive Value of False-Positive ForeseeHome Alerts in the ALOFT Study

Ho, Allen C.; Schechet, Sidney A.; Mathai, Mariam; Reddy, Shivani; Elman, Michael J.; Garfinkel, Richard A.; Ladd, Byron; Wagner, Allen B.; Sanborn, George E.; Jacobs, Jennifer; Busquets, Miguel; Chew, Emily Y.

doi:10.1016/j.oret.2022.10.009

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…Finally, in separate analyses of the ALOFT dataset, even when alerts did not reveal current neovascular AMD (i.e. false positives), they had high predictive value for subsequent progression to neovascular AMD [27 ▪ ].…”

Section: Home Monitoring In Ophthalmologymentioning

confidence: 95%

Artificial intelligence for home monitoring devices

Keenan,

Loewenstein

2023

Current Opinion in Ophthalmology

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Purpose of review Home monitoring in ophthalmology is appropriate for disease stages requiring frequent monitoring or rapid intervention, for example, neovascular age-related macular degeneration (AMD) and glaucoma, where the balance between frequent hospital attendance versus risk of late detection is a constant challenge. Artificial intelligence approaches are well suited to address some challenges of home monitoring. Recent findings Ophthalmic data collected at home have included functional (e.g. perimetry), biometric (e.g. intraocular pressure), and imaging [e.g. optical coherence tomography (OCT)] data. Potential advantages include early detection/intervention, convenience, cost, and visual outcomes. Artificial intelligence can assist with home monitoring workflows by handling large data volumes from frequent testing, compensating for test quality, and extracting useful metrics from complex data. Important use cases include machine learning applied to hyperacuity self-testing for detecting neovascular AMD and deep learning applied to OCT data for quantifying retinal fluid. Summary Home monitoring of health conditions is useful for chronic diseases requiring rapid intervention or frequent data sampling to decrease risk of irreversible vision loss. Artificial intelligence may facilitate accurate, frequent, large-scale home monitoring, if algorithms are integrated safely into workflows. Clinical trials and economic evaluations are important to demonstrate the value of artificial intelligence-based home monitoring, towards improved visual outcomes.

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Section: Home Monitoring In Ophthalmologymentioning

confidence: 95%

Artificial intelligence for home monitoring devices

Keenan,

Loewenstein

2023

Current Opinion in Ophthalmology

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Teleophthalmology and retina: a review of current tools, pathways and services

Than,

Sim,

Muttuvelu

et al. 2023

Int J Retin Vitr

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Telemedicine, the use of telecommunication and information technology to deliver healthcare remotely, has evolved beyond recognition since its inception in the 1970s. Advances in telecommunication infrastructure, the advent of the Internet, exponential growth in computing power and associated computer-aided diagnosis, and medical imaging developments have created an environment where telemedicine is more accessible and capable than ever before, particularly in the field of ophthalmology. Ever-increasing global demand for ophthalmic services due to population growth and ageing together with insufficient supply of ophthalmologists requires new models of healthcare provision integrating telemedicine to meet present day challenges, with the recent COVID-19 pandemic providing the catalyst for the widespread adoption and acceptance of teleophthalmology. In this review we discuss the history, present and future application of telemedicine within the field of ophthalmology, and specifically retinal disease. We consider the strengths and limitations of teleophthalmology, its role in screening, community and hospital management of retinal disease, patient and clinician attitudes, and barriers to its adoption.

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The Predictive Value of False-Positive ForeseeHome Alerts in the ALOFT Study

Cited by 2 publications

References 6 publications

Artificial intelligence for home monitoring devices

Artificial intelligence for home monitoring devices

Teleophthalmology and retina: a review of current tools, pathways and services

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