A Novel, Smartphone-Based, Teleophthalmology-Enabled, Widefield Fundus Imaging Device With an Autocapture Algorithm

Sivaraman, Anand; Nagarajan, Shanmuganathan; Vadivel, Sivasundara; Dutt, Sreetama; Tiwari, Priyamvada; Narayana, Srikanth; Rao, Divya Parthasarathy

doi:10.1167/tvst.10.12.21

Cited by 10 publications

(11 citation statements)

References 34 publications

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“…Limitations in the degree field of view, when considering nonmydriatic options, make these devices more suited to particular disease processes where the view of the macula and optic disc is most important [ 63 ]. By utilizing the post-processing capabilities of the smartphone, multiple images may be spliced together, providing a high-quality 100° image [ 64 ]. The development of wide-field imaging is a potential solution to this limitation, which has received great attention during the past several years.…”

Section: Smart Phoneographymentioning

confidence: 99%

Surfing the COVID-19 Tsunami with Teleophthalmology: the Advent of New Models of Eye Care

Ricur

Reyes

Alfonso

et al. 2023

Curr Ophthalmol Rep

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Purpose of Review In this article, we reviewed the impact resulting from the COVID-19 pandemic on the traditional model of care in ophthalmology. Recent Findings Though virtual eye care has been present for more than 20 years, the COVID-19 pandemic has established a precedent to seriously consider its role in the evolving paradigm of vision and eye care. New hybrid models of care have enhanced or replaced traditional synchronous and asynchronous visits. The increased use of smart phoneography and mobile applications enhanced the remote examination of patients. Use of e-learning became a mainstream tool to continue accessing education and training. Summary Teleophthalmology has demonstrated its value for screening, examining, diagnosing, monitoring treatment, and increasing access to education. However, much of the progress made following the COVID-19 pandemic is at risk of being lost as society pushes to reestablish normalcy. Further studies during the new norm are required to prove a more permanent role for virtual eye care.

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Section: Smart Phoneographymentioning

confidence: 99%

Surfing the COVID-19 Tsunami with Teleophthalmology: the Advent of New Models of Eye Care

Ricur

Reyes

Alfonso

et al. 2023

Curr Ophthalmol Rep

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“…With a combination of a battery, an LED light source, a barrier, and an excitation filter fitted to an iPhone, Suto et al also demonstrated for the first time that fundus FA can be captured with a smartphone, producing images comparable to those obtained by indirect ophthalmoscopy ( 437 ). More recently, Sivaraman et al have come forward with a smartphone-coupled device capable of capturing widefield images of the retina beyond the posterior pole, with a field of view of 65° with a single take ( 438 ).…”

Section: Teleophthalmology and Smartphone Fundus Imagingmentioning

confidence: 99%

The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques

et al. 2022

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The field of ophthalmic imaging has grown substantially over the last years. Massive improvements in image processing and computer hardware have allowed the emergence of multiple imaging techniques of the eye that can transform patient care. The purpose of this review is to describe the most recent advances in eye imaging and explain how new technologies and imaging methods can be utilized in a clinical setting. The introduction of optical coherence tomography (OCT) was a revolution in eye imaging and has since become the standard of care for a plethora of conditions. Its most recent iterations, OCT angiography, and visible light OCT, as well as imaging modalities, such as fluorescent lifetime imaging ophthalmoscopy, would allow a more thorough evaluation of patients and provide additional information on disease processes. Toward that goal, the application of adaptive optics (AO) and full-field scanning to a variety of eye imaging techniques has further allowed the histologic study of single cells in the retina and anterior segment. Toward the goal of remote eye care and more accessible eye imaging, methods such as handheld OCT devices and imaging through smartphones, have emerged. Finally, incorporating artificial intelligence (AI) in eye images has the potential to become a new milestone for eye imaging while also contributing in social aspects of eye care.

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“…Technology is being increasingly mobilized for home-based diagnostics, not only for glaucoma but for other diseases such as diabetic retinopathy (DR) 6–8. This labor-intensive process of manual grading is overburdening physicians.…”

mentioning

confidence: 99%

“…[4][5][6] Technology is being increasingly mobilized for home-based diagnostics, not only for glaucoma but for other diseases such as diabetic retinopathy (DR). [6][7][8] This labor-intensive process of manual grading is overburdening physicians. Artificial intelligence (AI)-based software has therefore been deployed for screening images.…”

mentioning

confidence: 99%

“…In this study, a portable, handheld, smartphone-based imaging device was used for acquiring fundus images. The device image quality has previously been validated in DOI: 10.1097/IJG.0000000000002147 comparison to tabletop devices for the detection of DR. 7,8,12 The device is also equipped with an offline AI-based software capable of effectively detecting DR. 13,14 To the best of our knowledge, there is no other AI-based glaucoma detection software, which is integrated into a smartphone, and which can work in offline automatically. The purpose of this study was to determine the agreement between the vertical cup-to-disc ratio (vCDR) measurements acquired from this offline AI software and the values obtained from manual grading by specialists on stereoscopic images and from SD-OCT, in eyes with and without glaucomatous disc changes.…”

mentioning

confidence: 99%

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Agreement of a Novel Artificial Intelligence Software With Optical Coherence Tomography and Manual Grading of the Optic Disc in Glaucoma

Shroff¹,

Rao²,

Savoy³

et al. 2022

Journal of Glaucoma

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Précis: The offline artificial intelligence (AI) on a smartphone-based fundus camera shows good agreement and correlation with the vertical cup-to-disc ratio (vCDR) from the spectral-domain optical coherence tomography (SD-OCT) and manual grading by experts. Purpose: The purpose of this study is to assess the agreement of vCDR measured by a new AI software from optic disc images obtained using a validated smartphone-based imaging device, with SD-OCT vCDR measurements, and manual grading by experts on a stereoscopic fundus camera. Methods: In a prospective, cross-sectional study, participants above 18 years (Glaucoma and normal) underwent a dilated fundus evaluation, followed by optic disc imaging including a 42-degree monoscopic disc-centered image (Remidio NM-FOP-10), a 30-degree stereoscopic disc-centered image (Kowa nonmyd WX-3D desktop fundus camera), and disc analysis (Cirrus SD-OCT). Remidio FOP images were analyzed for vCDR using the new AI software, and Kowa stereoscopic images were manually graded by 3 fellowship-trained glaucoma specialists. Results: We included 473 eyes of 244 participants. The vCDR values from the new AI software showed strong agreement with SD-OCT measurements [95% limits of agreement (LoA)=−0.13 to 0.16]. The agreement with SD-OCT was marginally better in eyes with higher vCDR (95% LoA=−0.15 to 0.12 for vCDR>0.8). Interclass correlation coefficient was 0.90 (95% CI, 0.88–0.91). The vCDR values from AI software showed a good correlation with the manual segmentation by experts (interclass correlation coefficient=0.89, 95% CI, 0.87–0.91) on stereoscopic images (95% LoA=−0.18 to 0.11) with agreement better for eyes with vCDR>0.8 (LoA=−0.12 to 0.08). Conclusions: The new AI software vCDR measurements had an excellent agreement and correlation with the SD-OCT and manual grading. The ability of the Medios AI to work offline, without requiring cloud-based inferencing, is an added advantage.

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A Novel, Smartphone-Based, Teleophthalmology-Enabled, Widefield Fundus Imaging Device With an Autocapture Algorithm

Cited by 10 publications

References 34 publications

Surfing the COVID-19 Tsunami with Teleophthalmology: the Advent of New Models of Eye Care

Surfing the COVID-19 Tsunami with Teleophthalmology: the Advent of New Models of Eye Care

The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques

Agreement of a Novel Artificial Intelligence Software With Optical Coherence Tomography and Manual Grading of the Optic Disc in Glaucoma

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