AI-Assisted vs Conventional Teleglaucoma Referral (GATES)
Artificial Intelligence-Assisted Teleophthalmology for Glaucoma Screening: A Randomized Controlled Trial
This randomized controlled trial will compare an artificial intelligence (AI)-assisted teleglaucoma referral pathway with conventional referral among adults identified with referable glaucoma through the Los Angeles County Department of Health Services (LAC DHS) Teleretinal Screening Program. The primary objective is to determine whether AI-assisted referral reduces time to in-office diagnosis of manifest glaucoma. Secondary outcomes include glaucoma severity, visual function, need for glaucoma surgery, patient-reported quality of life and satisfaction, health system resource utilization, and cost-effectiveness.
調査の概要
状態
状態
条件
条件
介入・治療
介入・治療
詳細な説明
Participants identified with referable glaucoma during routine teleretinal screening will be randomized 1:1 to an AI-assisted referral pathway or a conventional referral pathway.
In the AI-assisted arm, fundus photographs will be analyzed using validated deep learning models integrated within the Eye-AI platform. AI outputs, together with intraocular pressure and other clinical information, will be used to stratify referral urgency. AI-generated recommendations will undergo review by glaucoma specialists before referral.
In the conventional referral arm, fundus images will undergo manual review by LAC DHS optometrists, with referral and prioritization performed according to current clinical practice.
Participants in both groups will undergo comprehensive in-office glaucoma evaluation following referral and will be followed for up to 36 months. The primary outcome is time from screening to in-office diagnosis of manifest glaucoma. Secondary outcomes will evaluate disease severity and visual function, need for glaucoma surgery, patient-reported quality of life and satisfaction, health system resource utilization, and cost-effectiveness.
研究の種類
研究の種類
入学 (推定)
入学
段階
段階
- 適用できない
連絡先と場所
研究連絡先
研究連絡先
- 名前:Benjamin Y. Xu, MD, PhD
- 電話番号:323-442-6425
- メール:benjamix@usc.edu
参加基準
適格基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
Inclusion Criteria:
- Provision of signed and dated informed consent
- Age ≥18 years
- Receiving routine teleretinal screening through the Los Angeles County Department of Health Services (LAC DHS) Teleretinal Screening Program
- Positive prediction for referable glaucoma by the validated AI algorithm at the time of screening
- No prior ophthalmology or optometry follow-up within the past year
- Willingness and ability to comply with study procedures and follow-up
Exclusion Criteria:
- Inability to tolerate fundus photography or ungradable fundus images
- Acute vision loss or major ocular complaints requiring immediate in-person evaluation
- Prior glaucoma diagnosis or treatment within the past year
研究計画
研究はどのように設計されていますか?
デザインの詳細
- 主な目的:診断
- 割り当て:ランダム化
- 介入モデル:並列代入
- マスキング:なし(オープンラベル)
アーム数
武器と介入
参加者グループ / アーム参加者グループ / アーム |
介入・治療介入・治療 |
|---|---|
|
実験的:AI-Assisted Teleglaucoma Referral
Participants will undergo AI-assisted referral using validated deep learning models integrated within the Eye-AI platform. AI outputs, together with intraocular pressure and other clinical information, will be used to stratify referral urgency. AI-generated recommendations will be reviewed by glaucoma specialists before referral. |
Fundus photographs acquired during routine teleretinal screening will be analyzed using validated deep learning models integrated within the Eye-AI platform. For participants identified with referable glaucoma, AI outputs will be combined with intraocular pressure and other clinical information to stratify referral urgency. All AI-generated recommendations will undergo review by a glaucoma specialist before referral. |
|
アクティブコンパレータ:Conventional Teleglaucoma Referral
Participants will undergo conventional teleglaucoma referral based on manual grading of fundus photographs by LAC DHS optometrists, with referral and prioritization performed according to current clinical practice. |
Fundus photographs will undergo conventional manual grading by LAC DHS optometrists, with referral and prioritization performed according to current clinical practice. |
この研究は何を測定していますか?
主要な結果の測定
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Time to in-office diagnosis of glaucoma
時間枠:From screening through 36 months
|
Number of days from the initial teleophthalmology screening to the first in-office glaucoma evaluation at which manifest glaucoma is diagnosed. |
From screening through 36 months
|
二次結果の測定
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Visual field mean deviation (MD)
時間枠:Baseline and 36 months
|
Glaucoma disease severity assessed using visual field mean deviation (MD), measured in decibels (dB), at baseline and 36 months. |
Baseline and 36 months
|
|
Visual field index (VFI)
時間枠:Baseline and 36 months
|
Glaucoma disease severity assessed using visual field index (VFI), expressed as a percentage (%), at baseline and 36 months. |
Baseline and 36 months
|
|
Mean retinal nerve fiber layer (RNFL) thickness
時間枠:Time Frame: Baseline and 36 months
|
Glaucoma disease severity assessed using mean retinal nerve fiber layer (RNFL) thickness measured by optical coherence tomography (OCT), expressed in micrometers (µm), at baseline and 36 months. |
Time Frame: Baseline and 36 months
|
協力者と研究者
協力者
協力者
研究記録日
主要日程の研究
研究開始 (推定)
研究開始
一次修了 (推定)
一次修了
研究の完了 (推定)
研究の完了
試験登録日
最初に提出
最初に提出
QC基準を満たした最初の提出物
QC基準を満たした最初の提出物
最初の投稿 (実際)
最初の投稿
学習記録の更新
投稿された最後の更新 (実際)
投稿された最後の更新
QC基準を満たした最後の更新が送信されました
QC基準を満たした最後の更新が送信されました
最終確認日
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
その他の研究ID番号
- APP-26-03722
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
IPD プランの説明
Individual participant data will not be shared because patient-level health data from the Los Angeles County Department of Health Services (LAC DHS) are subject to HIPAA and LAC DHS data-sharing restrictions. Aggregate-level study results and derived analytic outputs will be shared in accordance with NIH policy and the approved Data Management and Sharing Plan.
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。