Early Intelligent Diagnosis of Limb Deformity in Children by AI and Clinic Application
NCT ID: NCT04527029
Last Updated: 2025-02-20
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
9000 participants
OBSERVATIONAL
2025-03-31
2027-12-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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limb deformity children
the imaging of limb deformity diagnosis by AI
No interventions
It is an observational study. No interventions.
Interventions
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No interventions
It is an observational study. No interventions.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Children's Hospital of Fudan University
OTHER
Responsible Party
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Principal Investigators
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Bo Ning, PhD
Role: PRINCIPAL_INVESTIGATOR
Children's Hospital of Fudan University
Central Contacts
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References
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Mirskaia NB, Kolomenskaia AN, Siniakina AD. [Prevalence and medical and social importance of disorders and diseases of the musculoskeletal systems in children and adolescents (review of literature)]. Gig Sanit. 2015 Jan-Feb;94(1):97-104. Russian.
Theofilatos K, Pavlopoulou N, Papasavvas C, Likothanassis S, Dimitrakopoulos C, Georgopoulos E, Moschopoulos C, Mavroudi S. Predicting protein complexes from weighted protein-protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering. Artif Intell Med. 2015 Mar;63(3):181-9. doi: 10.1016/j.artmed.2014.12.012. Epub 2015 Feb 18.
Silverman BG, Hanrahan N, Bharathy G, Gordon K, Johnson D. A systems approach to healthcare: agent-based modeling, community mental health, and population well-being. Artif Intell Med. 2015 Feb;63(2):61-71. doi: 10.1016/j.artmed.2014.08.006. Epub 2014 Sep 11.
Jamaludin A, Lootus M, Kadir T, Zisserman A, Urban J, Battie MC, Fairbank J, McCall I; Genodisc Consortium. ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist. Eur Spine J. 2017 May;26(5):1374-1383. doi: 10.1007/s00586-017-4956-3. Epub 2017 Feb 6.
Ravi D, Wong C, Deligianni F, Berthelot M, Andreu-Perez J, Lo B, Yang GZ. Deep Learning for Health Informatics. IEEE J Biomed Health Inform. 2017 Jan;21(1):4-21. doi: 10.1109/JBHI.2016.2636665. Epub 2016 Dec 29.
Rahmathulla G, Nottmeier EW, Pirris SM, Deen HG, Pichelmann MA. Intraoperative image-guided spinal navigation: technical pitfalls and their avoidance. Neurosurg Focus. 2014 Mar;36(3):E3. doi: 10.3171/2014.1.FOCUS13516.
Other Identifiers
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ningbo1528
Identifier Type: -
Identifier Source: org_study_id
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