Clinical trials: Artificial Intelligence
Ulcerative Colitis, Artificial Intelligence
Automatic Evaluation of Inflammation Activity in Ulcerative Colitis Using pCLE With Artificial Intelligence
Probe-based confocal laser endomicroscopy (pCLE) is an endoscopic technique that enables to evaluate the inflammation activity of ulcerative colitis with excellent correlation with histopathology.
- Conditions
- Ulcerative Colitis, Artificial Intelligence, Confocal Laser Endomicroscopy
- Trial name
- NCT04131530
- Testing
- The diagnosis of Artificial Intelligence and endoscopist
- Where
- China
- Volunteers
- 60 people
- Sponsor
- Shandong University
Bipolar Disorder, Manic, Artificial Intelligence
Correlation of Audiovisual Features With Clinical Variables and Neurocognitive Functions in Bipolar Disorder, Mania
The aim of this study is to show the physiological changes during manic episode in bipolar mania how much they differentiate from remission and healthy control.
- Conditions
- Bipolar Disorder, Manic, Artificial Intelligence, Neurocognition, Treatment Resistant Disorders
- Trial name
- NCT03857438
- Testing
- Ongoing treatment for bipolar mania, Audiovisual recording during guided presentation
- Where
- Turkey (Türkiye)
- Volunteers
- 89 people, healthy volunteers welcome
- Sponsor
- Istanbul Saglik Bilimleri University
Probe-based Confocal Laser Endomicroscopy, Artificial Intelligence
Automatic Classification of Colorectal Polyps Using Probe-based Endomicroscopy With Artificial Intelligence
Probe-based confocal laser endomicroscopy (pCLE) is an endoscopic technique that enables real-time histological evaluation of gastrointestinal mucosa during ongoing endoscopy examination.
- Conditions
- Probe-based Confocal Laser Endomicroscopy, Artificial Intelligence, Colorectal Polyps
- Trial name
- NCT03787784
- Testing
- AI presentation
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Shandong University
Orthopedic Disorder of Spine, Artificial Intelligence
Validation of the Utility of an Artificial System for the Large-scale Screening of Scoliosis
Traditional school scoliosis screening approaches remains debatable due to unnecessary referal and excessive cost. Deep learning algorithms have proven to be powerful tools for the detection of multiple diseases; however, the…
- Conditions
- Orthopedic Disorder of Spine, Artificial Intelligence, Scoliosis
- Trial name
- NCT03773458
- Testing
- An artificial system for the screening of scoliosis
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Ophthalmopathy, Artificial Intelligence
Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children
Visual development during early childhood is a vital process. Examining the visual acuity of children is essential for the early detection of visual abnormality, but performing such an assessment in children is challenging.
- Trial name
- NCT03766737
- Testing
- An intelligent visual acuity diagnostic system for children
- Where
- China
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Cataract, Artificial Intelligence
Validation of a Universal Cataract Intelligence Platform
This study established and validated a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multi-level clinical scenarios and explored an AI-based medical referral pattern to…
- Trial name
- NCT03623971
- Testing
- Cataract AI agent
- Volunteers
- 500 people
- Sponsor
- Sun Yat-sen University
Cancer, Artificial Intelligence
Clinical Concordance Study Between Watson for Oncology and Clinician Practice
At present, Watson for Oncology has been applied in 14 countries worldwide, including China, the United States, Holland, Thailand, India, Korea, Poland, Slovakia and Bangladesh.
- Trial name
- W001 (NCT03400514)
- Where
- China
- Volunteers
- 350 people
- Sponsor
- Qingdao University
Myocardial Infarction, Acute, Artificial Intelligence
The ALERT-Pilot Study
the algorithm of artificial intelligent to diagnose myocardial infarction through prior surgery Electrocardiogram was established.
- Conditions
- Myocardial Infarction, Acute, Artificial Intelligence, ECG Pattern
- Trial name
- NCT03317691
- Testing
- electrocardiogram diagnosed by artificial intelligence
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Shanghai 10th People's Hospital
Difficult Airway, Artificial Intelligence
Establishment of Airway Database for Surgical Patients
Difficult airway is a major reason of anesthesia related injuries with latent life threatening complications. Foresee difficult airway in the preoperative period is vital for the patient's safety.
- Trial name
- NCT03125837
- Volunteers
- 50,000 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Cataract, Artificial Intelligence
Validation of the Utility of Rare Disease Intelligence Platform
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.
- Trial name
- NCT02748044
- Testing
- CC-Cruiser
- Where
- 4 sites in China
- Volunteers
- 53 people
- Sponsor
- Sun Yat-sen University