Dry Eye Screening and Referral System
The Development of Artificial Intelligence Dry Eye Screening and Referral System
Dry eye is one of the most common ocular surface diseases. Its pathogenic factors are related to multiple etiology. Because of the complexity of the pathogenesis of dry eye, the diversity of related examinations, and the inconsistency of symptoms and signs of dry eye patients, the diagnosis of dry eye has higher requirements on the professional technology and examination equipment of ophthalmologists.
The purpose of this study is to establish a case-control cohort of dry eye patients. Multimodal data will be collected from participants, including medical history information, ocular surface disease index scale (OSDI), anterior segment photography, and treatment outcome of dry eye patients. The correlation between the characteristics of anterior segment images and dry eye diagnosis will be explored by artificial intelligence algorithms. The purpose of this study was to develop an artificial intelligence dry eye screening and referral system.
調査の概要
研究の種類
入学 (実際)
連絡先と場所
研究場所
-
-
Guangdong
-
Guangzhou、Guangdong、中国、510632
- Zhongshan Ophthalmic Center
-
-
参加基準
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
サンプリング方法
調査対象母集団
説明
Inclusion Criteria:
- Subjects whose age are greater than or equal to 18 years old;
- Subjects who can cooperate with the inspection;
- Subjects who agree to participate in the study and sign the consent form.
Exclusion Criteria:
- Subjects who cannot do the inspection.
- Subjects who suffer from diseases that compromise the inspection.
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
コホートと介入
グループ/コホート |
介入・治療 |
|---|---|
|
Severe Group
This group of subjects needed a referral to the hospital for further treatments.
|
The artificial intelligent dry eye screening platform
|
|
Mild group
This group of subjects was diagnosed with dry eye but can use artificial tears instead of further treatment.
|
The artificial intelligent dry eye screening platform
|
|
Follow-up group
This group of subjects had no dry eye symptoms and signs and belonged to the normal control group.
|
The artificial intelligent dry eye screening platform
|
この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Area under the curve (severe)
時間枠：up to 1 month
|
AUC values for predicting whether subject need to be referral or not.
|
up to 1 month
|
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Area under the curve (each group)
時間枠：up to 1 month
|
AUC values for predicting whether subject can be accurately grouped into each of the four groups.
|
up to 1 month
|
|
Accuracy, true positive rate, and true negative rate
時間枠：up to 1 month
|
The performance of this artificial platform.
|
up to 1 month
|
協力者と研究者
スポンサー
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (実際)
研究の完了 (予想される)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
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
詳しくは
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。
ドライアイの臨床試験
-
McMaster UniversityIcahn School of Medicine at Mount Sinai; Edward-Elmhurst Health System完了霰粒腫 Unspecified Eye, Unspecified Eyelid | 霰粒腫左目、詳細不明のまぶた | 霰粒腫 右目、詳細不明のまぶた | 霰粒腫両目アメリカ, カナダ
Dry eye diagnostic testの臨床試験
-
London School of Hygiene and Tropical MedicineHealthNet TPO; Health Protection and Research Organisation; Medical Emergency Relief International完了
-
Beijing Airdoc Technology Co., Ltd.University of Notre Dame Australia募集