CataractNCT02748044
Validation of the Utility of Rare Disease Intelligence Platform
A study testing CC-Cruiser in people with Cataract and Artificial Intelligence, run by Sun Yat-sen University at 4 sites in China.
Trial summary
The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. The artificial intelligence for systematic clinical application has not yet been successfully validated. Read more about this study
- Who is it for?
- Ages Up to 80 years
- Conditions the study is for
- Cataract, Artificial Intelligence
- What is being tested?
- CC-Cruiser
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 53 participants
- Where
- 4 sitesChina
- Study dates
- Jan 2012to Apr 2016
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Up to 80 years
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Who may be able to join
- Patients who underwent ophthalmic examination of the eye and recorded their ocular information in the collaborating hospital.
Who cannot join
- -
Trial locations and contacts
4 sites in 1 country.
China4 sites
Zhongshan Ophthalmic Center, Sun Yat-sen University
Guangzhou, Guangdong, 510060
Department of Ophthalmology, Guangdong General Hospital, Guangdong Academy of Medical Sciences
Guangzhou, Guangdong, 510080
Department of Ophthalmology, First Affiliated Hospital, Guangzhou University of Traditional Chinese Medicine
Guangzhou, Guangdong, 510405
Department of Ophthalmology, Qingyuan People's Hospital
Qingyuan, Guangdong, 511518
About this study
Official title: Validation of the Utility of Rare Disease Intelligence Platform: A Multicenter Cluster Clinical Trial
The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. The artificial intelligence for systematic clinical application has not yet been successfully validated. Currently, the main prevention strategy for rare diseases is to build specialized care centers. However, these centers are scattered, and their coverage is insufficient, resulting in inadequate health care among a large proportion of rare disease patients. Here, the investigators use "deep learning" to create CC-Cruiser, an intelligence agent involving three functional networks: "pick-up networks" for diagnostics, "evaluation networks" for risk stratification and "strategist networks" to provide assisted treatment decisions. The investigator also establish a cloud intelligence platform for multi-hospital collaboration and conduct clinical trial and website-based study to validate its versatility.
- Conditions
- Cataract, Artificial Intelligence
- Being tested
- CC-Cruiser
- Medical subject headings
- Cataract
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
CC-CruiserDevice
An artificial intelligence to make comprehensive evaluation and treatment decision of congenital cataracts
| Study group | Role | What they receive |
|---|---|---|
| Eligible patients for CC-Cruiser test | Experimental | Not described Receives: Device: CC-Cruiser |
What is being measured
The primary outcome is the main question the study is designed to answer.
The proportion of accurate, mistaken and miss detection of CC-Cruiser.
Measured: Up to 4 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted22 Apr 2016 (estimated)
- Study startJan 2012
- Primary completionApr 2016
- Study completionApr 2016
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (2)Papers the sponsor has linked to this study.
- Other trials for CataractStudies of the same condition, open and under way.
- More trials run by Sun Yat-sen UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Diagnosis
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 53 participants (actual)
Sponsor and investigators
- Lead sponsor
- Sun Yat-sen University
- Sponsor type
- University, hospital or other
- Collaborators
- Ministry of Health, China, Xidian University
- Responsible party
- Principal investigator, Erping Long, Sun Yat-sen University
- Investigators
- Haotian Lin, M.D., Ph.D, Study director, Zhongshan Ophthalmic Center, Sun Yat-sen UniversityYizhi Liu, M.D., Ph.D, Study chair, Zhongshan Ophthalmic Center, Sun Yat-sen UniversityErping Long, M.D., Ph.D, Principal investigator, Zhongshan Ophthalmic Center, Sun Yat-sen University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02748044
- Sponsor's protocol ID
- CCPMOH2016-China3
- Status last verified
- Apr 2016
- First submitted
- 13 Apr 2016
- Last updated
- 22 Apr 2016
- Results posted
- No
- Data monitoring committee
- Yes
Publications
Lin H, Long E, Chen W, Liu Y. Documenting rare disease data in China. Science. 2015 Sep 4;349(6252):1064. doi: 10.1126/science.349.6252.1064-b. No abstract available.
PubMed 26339020Lin H, Ouyang H, Zhu J, Huang S, Liu Z, Chen S, Cao G, Li G, Signer RA, Xu Y, Chung C, Zhang Y, Lin D, Patel S, Wu F, Cai H, Hou J, Wen C, Jafari M, Liu X, Luo L, Zhu J, Qiu A, Hou R, Chen B, Chen J, Granet D, Heichel C, Shang F, Li X, Krawczyk M, Skowronska-Krawczyk D, Wang Y, Shi W, Chen D, Zhong Z, Zhong S, Zhang L, Chen S, Morrison SJ, Maas RL, Zhang K, Liu Y. Lens regeneration using endogenous stem cells with gain of visual function. Nature. 2016 Mar 17;531(7594):323-8. doi: 10.1038/nature17181. Epub 2016 Mar 9.
PubMed 26958831
Study at a glance
From the registry record, last updated by the sponsor on 22 Apr 2016. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Validation of the Utility of Rare Disease Intelligence Platform: A Multicenter Cluster Clinical Trial
- ClinicalTrials.gov ID
- NCT02748044
- Acronym / sponsor ID
- CCPMOH2016-China3
- Conditions
- Cataract, Artificial Intelligence
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 53 participants (actual)
- Lead sponsor
- Sun Yat-sen UniversityUniversity, hospital or other
- Collaborators
- Ministry of Health, China, Xidian University
- Study start
- Jan 2012
- Primary completion
- Apr 2016 (actual)
- Study completion
- Apr 2016 (actual)
- First posted
- 22 Apr 2016 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The prevention and treatment of diseases via artificial intelligence represents an ultimate goal in computational medicine. The artificial intelligence for systematic clinical application has not yet been successfully validated. Currently, the main prevention strategy for rare diseases is to build specialized care centers. However, these centers are scattered, and their coverage is insufficient, resulting in inadequate health care among a large proportion of rare disease patients. Here, the investigators use "deep learning" to create CC-Cruiser, an intelligence agent involving three functional networks: "pick-up networks" for diagnostics, "evaluation networks" for risk stratification and "strategist networks" to provide assisted treatment decisions. The investigator also establish a cloud intelligence platform for multi-hospital collaboration and conduct clinical trial and website-based study to validate its versatility.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Eligible patients for CC-Cruiser test | Experimental | Device: CC-Cruiser |
Who may qualify
- Ages
- Up to 80 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (1 listed)
- Patients who underwent ophthalmic examination of the eye and recorded their ocular information in the collaborating hospital.
Key exclusion criteria (1 listed)
- -
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| CC-CruiserAn artificial intelligence to make comprehensive evaluation and treatment decision of congenital cataracts | Device | Eligible patients for CC-Cruiser test |
Primary outcome
The proportion of accurate, mistaken and miss detection of CC-Cruiser.
Time frame: Up to 4 years
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 22 Apr 2016.
- Background: PubMed 26339020Lin H, Long E, Chen W, Liu Y. Documenting rare disease data in China. Science. 2015 Sep 4;349(6252):1064. doi: 10.1126/science.349.6252.1064-b. No abstract available.
- Background: PubMed 26958831Lin H, Ouyang H, Zhu J, Huang S, Liu Z, Chen S, Cao G, Li G, Signer RA, Xu Y, Chung C, Zhang Y, Lin D, Patel S, Wu F, Cai H, Hou J, Wen C, Jafari M, Liu X, Luo L, Zhu J, Qiu A, Hou R, Chen B, Chen J, Granet D, Heichel C, Shang F, Li X, Krawczyk M, Skowronska-Krawczyk D, Wang Y, Shi W, Chen D, Zhong Z, Zhong S, Zhang L, Chen S, Morrison SJ, Maas RL, Zhang K, Liu Y. Lens regeneration using endogenous stem cells with gain of visual function. Nature. 2016 Mar 17;531(7594):323-8. doi: 10.1038/nature17181. Epub 2016 Mar 9.
- Home page of Zhongshan Ophthalmic CenterLink provided by the sponsor.
- Homepage of Childhood Cataract Program of the Chinese Ministry of Health(CCPMOH)Link provided by the sponsor.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Haotian Lin, M.D., Ph.D study director
Zhongshan Ophthalmic Center, Sun Yat-sen University
Yizhi Liu, M.D., Ph.D study chair
Zhongshan Ophthalmic Center, Sun Yat-sen University
Erping Long, M.D., Ph.D principal investigator
Zhongshan Ophthalmic Center, Sun Yat-sen University
4 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing CC-Cruiser in people with Cataract and Artificial Intelligence, run by Sun Yat-sen University at 4 sites in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 22 Apr 2016. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 4 sites in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The proportion of accurate, mistaken and miss detection of CC-Cruiser. (time frame: Up to 4 years). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02748044, which also lists 2 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 22 Apr 2016.