Teleophthalmology and Artificial Intelligence As Game Changers in Ophthalmic Care After the COVID-19 Pandemic

Nikolaidou, Anna; Tsaousis, Konstantinos T.

doi:10.7759/cureus.16392

Cited by 16 publications

(18 citation statements)

References 106 publications

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“…Literature has demonstrated a continual evolution of publicly available AI software over multiple iterations. 39 In the present analysis, no assessment was conducted regarding a learning curve or validity and replicability of the responses over time. 15 Given the findings of this study, our aim is to develop a safe methodology for studying the use of publicly available AI software to assist with answering patient questions during the perioperative period for reduction mammaplasty.…”

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence as a Triage Tool during the Perioperative Period: Pilot Study of Accuracy and Accessibility for Clinical Application

Boyd,

Hemal,

Sorenson

et al. 2024

Plastic and Reconstructive Surgery - Global Open

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Background: Given the dialogistic properties of ChatGPT, we hypothesized that this artificial intelligence (AI) function can be used as a self-service tool where clinical questions can be directly answered by AI. Our objective was to assess the content, accuracy, and accessibility of AI-generated content regarding common perioperative questions for reduction mammaplasty. Methods: ChatGPT (OpenAI, February Version, San Francisco, Calif.) was used to query 20 common patient concerns that arise in the perioperative period of a reduction mammaplasty. Searches were performed in duplicate for both a general term and a specific clinical question. Query outputs were analyzed both objectively and subjectively. Descriptive statistics, t tests, and chi-square tests were performed where appropriate with a predetermined level of significance of P less than 0.05. Results: From a total of 40 AI-generated outputs, mean word length was 191.8 words. Readability was at the thirteenth grade level. Regarding content, of all query outputs, 97.5% were on the appropriate topic. Medical advice was deemed to be reasonable in 100% of cases. General queries more frequently reported overarching background information, whereas specific queries more frequently reported prescriptive information (P < 0.0001). AI outputs specifically recommended following surgeon provided postoperative instructions in 82.5% of instances. Conclusions: Currently available AI tools, in their nascent form, can provide recommendations for common perioperative questions and concerns for reduction mammaplasty. With further calibration, AI interfaces may serve as a tool for fielding patient queries in the future; however, patients must always retain the ability to bypass technology and be able to contact their surgeon.

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Section: Discussionmentioning

confidence: 99%

Artificial Intelligence as a Triage Tool during the Perioperative Period: Pilot Study of Accuracy and Accessibility for Clinical Application

Boyd,

Hemal,

Sorenson

et al. 2024

Plastic and Reconstructive Surgery - Global Open

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“…Such systems can detect the presence of DR as early as possible, especially for DME or severe or proliferative DR [ 17 , 18 , 19 , 20 , 21 ]. Similarly, uses of new AI technologies applied to DR diagnosis are being developed, driven by the pandemic [ 22 , 23 ].…”

Section: Discussionmentioning

confidence: 99%

Impact of the COVID-19 Pandemic on the Metabolic Control of Diabetic Patients in Diabetic Retinopathy and Its Screening

Romero-Aroca

Baget-Bernaldiz

Sagarra

et al. 2022

JCM

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(1) Background: Diabetic retinopathy (DR) is a complication of diabetes mellitus (DM), screening programs of which have been affected by the COVID-19 pandemic. The aim of the present study was to determine the impact of the COVID-19 pandemic on the screening of diabetes patients in our healthcare area (HCA). (2) Methods: We carried out a retrospective study of patients with DM who had attended the DR screening program between January 2015 and June 2022. We studied attendance, DM metabolic control and DR incidence. (3) Results: Screening for DR decreased in the first few months of the pandemic. The incidence of mild and moderate DR remained stable throughout the study, and we observed little increase in severe DR, proliferative DR and neovascular glaucoma during 2021 and 2022. (4) Conclusions: The current study shows that during the COVID-19 pandemic, screening program attendance decreased during the year 2020, which then recovered in 2021. Regarding the most severe forms of DR, a slight increase in cases was observed, beginning in the year 2021. Nevertheless, we aimed to improve the telemedicine systems, since the conditions of a significant proportion of the studied patients worsened during the pandemic; these patients are likely those who were already poorly monitored.

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“…Telemedicine has emerged as a game changer and can be used as a novel tool to solve our purpose. [ 22 ]…”

Section: Discussionmentioning

confidence: 99%

Challenges in managing glaucoma-related morbidity due to lockdown in a developing country

Sen

Das

et al. 2022

Journal of Family Medicine and Primary Care

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Objective: The aim of this study was to assess the ocular morbidity due to delayed presentation in glaucoma patients because of COVID lockdown. Methodology: This was a retrospective study of 15 cases presented to us between October 2020 and February 2021. Cause of glaucoma in our study group was either primary angle closure, pseudoexfoliation, lens-induced glaucoma, or neovascular glaucoma. The cause of delayed presentation was identified and patients were treated with antiglaucoma medications, Nd-Yag laser, and surgery as per the standard treatment protocol. Results: With both medical and surgical intervention, some useful vision was restored in five cases while in rest it was not salvageable. The vision in the affected eye ranged from 6/60 in Snellen’s chart to perception of light and projection of rays positive. Better results were achieved in angle, closure, and lens-induced glaucoma cases as compared to neovascular glaucoma cases. Conclusion: The time of presentation in such cases is as important as the etiopathogenesis. We are left with limited treatment options if the presentation is late. The lockdown ended but it unraveled quite a few instances of disease presentation which were totally preventable under normal circumstances. Introspection on finding out newer and proactive methods to reach people suffering from such irreversible but preventable diseases is the need of the day especially when preventable but irreversible diseases like glaucoma are considered.

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Teleophthalmology and Artificial Intelligence As Game Changers in Ophthalmic Care After the COVID-19 Pandemic

Cited by 16 publications

References 106 publications

Artificial Intelligence as a Triage Tool during the Perioperative Period: Pilot Study of Accuracy and Accessibility for Clinical Application

Artificial Intelligence as a Triage Tool during the Perioperative Period: Pilot Study of Accuracy and Accessibility for Clinical Application

Impact of the COVID-19 Pandemic on the Metabolic Control of Diabetic Patients in Diabetic Retinopathy and Its Screening

Challenges in managing glaucoma-related morbidity due to lockdown in a developing country

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