Clinical trials: AI
Cerebral Palsy (CP), Unilateral Cerebral Palsy
tDCS and Bi-manual Training in Cerebral Palsy
Unilateral spastic cerebral palsy (USCP) is the most common subtype of cerebral palsy and significantly limits upper limb function.
- Conditions
- Cerebral Palsy (CP), Unilateral Cerebral Palsy, Spastic Cerebral Palsy (sCP)
- Trial name
- NCT07573865
- Testing
- Anodal tDCS
- Where
- Pakistan
- Volunteers
- 15 people
- Sponsor
- Riphah International University
Cerebral Palsy
Pediatric Rehabilitation for Children With Cerebral Palsy Through PVT Using AI to Reduce Spasticity
The study foucs on pediatric rehabilitation for children with cerebral palsy through personalized vibration therapy powered by artificial intelligence.
- Trial name
- NCT06407323
- Testing
- Personalized vibration therapy powered by AI, Physical therapy treatment
- Where
- 2 sites in Pakistan
- Volunteers
- 32 people
- Sponsor
- Superior University
Atrial Fibrillation
Artificial Intelligence Guided Patient Selection for Atrial Fibrillation Catheter Ablation: Randomized Clinical Trial (AI-PAFA Trial)
Atrial fibrillation (AF) is a major cardiovascular disease with a prevalence of 1.7% of the total population in Korea, associated with 25% of ischemic stroke and 30% of heart failure, and is a major cardiovascular disease that…
- Trial name
- NCT04997824
- Testing
- Artificial Intelligence-based atrial fibrillation catheter ablation, Medical Therapy
- Where
- South Korea
- Volunteers
- 1,000 people
- Sponsor
- Yonsei University
Neoplasms (Cancer / Tumors), Colorectal Neoplasms
A Preregistered Multi-Cohort Evaluation of the FATHOM AI System for Molecular Testing Prioritization to Support Clinical Trial Enrollment
Many clinical trials evaluating cancer treatments require patients to undergo testing for specific molecular markers as part of eligibility screening, typically using immunohistochemistry or sequencing.
- Conditions
- Neoplasms (Cancer / Tumors), Colorectal Neoplasms, Lung Neoplasms, Endometrial Neoplasms
- Trial name
- FATHOM (NCT07814872)
- Where
- United States
- Volunteers
- 30,000 people
- Sponsor
- Harvard Medical School (HMS and HSDM)
Chronic Pancreatitis, Exocrine Pancreatic Insufficiency
AI Evaluation of Pancreatic Exocrine Insufficiency in CP Patients
Early assessment of pancreatic exocrine insufficiency (PEI) is crucial for determining appropriate chronic pancreatitis (CP) treatment plans, thereby avoiding unnecessary suffering and further complications in patients.
- Conditions
- Chronic Pancreatitis, Exocrine Pancreatic Insufficiency, Machine Learning, Deep Learning
- Trial name
- NCT06278272
- Where
- China
- Volunteers
- 504 people
- Sponsor
- Changhai Hospital
Gliomas Harboring IDH1 and/or IDH2 Mutations, Glioma Glioblastoma Multiforme
Multicenter Prospective Study on MRI AI Model for Midline Glioma Subtyping and Prognosis:
A vision-language model using preoperative MRI and clinical variables has been developed to simultaneously predict three key molecular markers in midline gliomas: H3K27M, IDH, and 1p/19q.
- Conditions
- Gliomas Harboring IDH1 and/or IDH2 Mutations, Glioma Glioblastoma Multiforme, Glioma of Brainstem, Glioma, Diffuse Midline, H3K27M-mutant
- Trial name
- NCT07608003
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Xiangya Hospital of Central South University
Depressive Disorder, Mental Disorder in Adolescence
A Clinical Study on the Effects of Inhalation of Volatile Oil of Cang-Ai Via the Nose on Patients With Depression
In this study, 60 depressed patients who meet the criteria will randomly be divided into a test group and a control group, with 30 patients in each group.
- Trial name
- NCT05251779
- Testing
- Volatile Oil of Cang-Ai, Bergamot essential oils
- Volunteers
- 60 people
- Sponsor
- Jieqiong Cui
Obsessive-Compulsive Disorder
A Wearable AI Feedback Tool for Pediatric OCD
To test the feasibility of implementing digitally enhanced psychotherapy and research in a community child and adolescent mental health center including the acceptability of the digital technology to patients, parents and…
- Trial name
- NCT05064527
- Testing
- wearable biosensor, Treatment as usual (TAU), Exposure and response prevention (ERP)
- Where
- Denmark
- Volunteers
- 36 people
- Sponsor
- Mental Health Centre Copenhagen, Bispebjerg and Frederiksberg Hospital
Growth, Neonates
Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)
The NEST study is a prospective, observational research study designed to collect clinical measurements and image data to develop and evaluate artificial intelligence (AI)-derived algorithms for estimating anthropometric…
- Conditions
- Growth, Neonates, AI (Artificial Intelligence)
- Trial name
- NEST (NCT07514182)
- Where
- Singapore
- Volunteers
- 60 people
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd.
Chest X-ray for Clinical Evaluation
X-ray Assisted Diagnostic System
X-ray examination is one of the most commonly used imaging modalities, especially chest X-ray, which is routinely performed for hospitalized patients.
- Trial name
- NCT07497243
- Testing
- AI-assisted radiologist diagnostic group, Radiologist diagnostic group
- Where
- 4 sites in China
- Volunteers
- 16,000 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Sarcoma
Safety and Efficacy of (PN-152,243)/PN-196,444 in the Prevention of Thrombocytopenia
Intensive chemotherapy is associated with significant thrombocytopenia, often requiring platelet transfusion to maintain platelet counts. This investigational drug has demonstrated the ability to increase platelet counts.
- Trial name
- NCT00038311
- Testing
- PN-152,243)/PN-196,444
- Where
- 6 sites in United States
- Volunteers
- 120 people
- Sponsor
- Pfizer
Cardiomyopathies, Cardiac Arrest
AI-powered ECG Analysis Using Willem™ Software in High-risk Cardiac Patients (WILLEM)
WILLEM is a multi-center, prospective and retrospective cohort study. The study will assess the performance of a cloud-based and AI-powered ECG analysis platform, named Willem™, developed to detect arrhythmias and other abnormal…
- Conditions
- Cardiomyopathies, Cardiac Arrest, Cardiac Arrhythmias, Sudden Cardiac Death
- Trial name
- WILLEM (NCT05890716)
- Testing
- AI-powered ECG analysis to detect cardiac arrhythmic episodes
- Where
- 13 sites in Netherlands, Spain
- Volunteers
- 5,342 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.
Bacterial Infections
Development and Evaluation of AI Program for Predicting Bacterial Species From Urine Gram Stain Specimens
The purpose of this research is to develop an AI that estimates bacterial species from Gram staining images of urine specimens, and to evaluate the accuracy and labor reduction effect of Gram staining Automation system equipped…
- Trial name
- NCT06554145
- Where
- Japan
- Volunteers
- 15,000 people
- Sponsor
- GramEye
Nursing Students, Artificial Intelligence
ChatGPT-Assisted Hypertension Knowledge in Nursing Students
ChatGPT provides quick access to information, research support, and study materials, but concerns remain regarding its reliability, accuracy, and inability to offer personalized care principles essential in nursing.
- Conditions
- Nursing Students, Artificial Intelligence, Hypertension
- Trial name
- NCT06863792
- Testing
- ChatGPT
- Volunteers
- 96 people, healthy volunteers welcome
- Sponsor
- Ankara University
Clinical Decision-making, Medical Reporting
Artificial Intelligence as a Decision Making Tool in Emergency Department
This study will evaluate the performance of a large language model (LLM)-based clinical decision support system in the emergency department at Rambam Health Care Campus.
- Conditions
- Clinical Decision-making, Medical Reporting, Emergency Department Visit, Information Systems
- Trial name
- NCT06902675
- Where
- Israel
- Volunteers
- 100,000 people
- Sponsor
- Rambam Health Care Campus
Rare Disorders, Rare Diseases
AI-assisted Rare Disease Diagnosis
A multicentre randomised controlled trial evaluating whether a rare-disease diagnostic large language model can improve diagnostic quality, efficiency, and health-economic outcomes for physicians managing patients with suspected…
- Trial name
- NCT07650799
- Testing
- AI system
- Where
- 12 sites in China
- Volunteers
- 1,056 people
- Sponsor
- Peking Union Medical College Hospital
Children Aged 3-5 Years, Vision Screening
Shared Reading for Pediatric Ophthalmic Education
We use generative AI to make personalized books for young children about going to the eye doctor. We want to see if reading these stories helps kids feel more comfortable and improves their overall experience at the clinic.
- Conditions
- Children Aged 3-5 Years, Vision Screening, Cycloplegic Refraction
- Trial name
- NCT07590791
- Testing
- Generative AI-customized educational book, standard printed educational leaflet, Commercially available children's book
- Where
- Taiwan
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Mackay Memorial Hospital
Solitary Skin Lesions, Skin Neoplasms
CNN-Based AI Versus Physicians for Solitary Skin Lesion Diagnosis
The goal of this observational study is to evaluate the diagnostic accuracy of a CNN-based artificial intelligence model in patients with solitary skin lesions.
- Conditions
- Solitary Skin Lesions, Skin Neoplasms, Skin Neoplasm Malignant
- Trial name
- NCT07415291
- Where
- Turkey (Türkiye)
- Volunteers
- 17,625 people
- Sponsor
- Istanbul Training and Research Hospital
Speech Sound Disorder, Articulation Disorder
AI-Integrated Virtual Reality Speech Therapy in Children With Speech Sound Disorders
Speech sound disorders can affect intelligibility, learning, participation, and communication in children. This completed randomized controlled trial evaluated AI-Integrated Virtual Reality Speech Therapy (AI-IVR-ST) against…
- Conditions
- Speech Sound Disorder, Articulation Disorder, Phonological Disorder
- Trial name
- NCT07863778
- Testing
- AI-Integrated Virtual Reality Speech Therapy (AI-IVR-ST), Conventional Speech Therapy
- Where
- 2 sites in Pakistan
- Volunteers
- 64 people
- Sponsor
- Superior University
Skin and Connective Tissue Diseases, Neglected Tropical Diseases
Early Detection and AI-Based Management of Skin-Related Neglected Tropical Diseases in Sub-Saharan Africa by Frontline Health Workers
Skin-related Neglected Tropical Diseases (Skin NTDs) affect about 1.8 billion people worldwide, particularly in poor and rural communities where healthcare access is limited.
- Conditions
- Skin and Connective Tissue Diseases, Neglected Tropical Diseases, Leprosy, Buruli Ulcer
- Trial name
- SkincAIr (NCT07506967)
- Testing
- A mobile app with AI functionality for diagnosing skin-related NTDs
- Where
- 5 sites in Democratic Republic of the Congo, Ethiopia and 3 more
- Volunteers
- 2,420 people
- Sponsor
- Kenya Medical Research Institute