Clinical trials: Machine Learning
Otitis Media Acute
Otitis Treatment With OtoSight™ - Modification of Antibiotic Treatment Intervention in Children
A pragmatic, mixed-method trial is to show the ability of OtoSight to change management of the pediatric patient presenting with ear pain in a way that improves patient outcomes and reduces costs.
- Trial name
- OTO-MATIC (NCT06285812)
- Testing
- OtoSight Middle Ear Scope
- Where
- 7 sites in United States
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- PhotoniCare, Inc.
Physical Activity, Sedentary Lifestyle
Validating Machine -Learned Classifiers of Sedentary Behavior and Physical Activity
The majority of the US population spends most of the day sitting and the we have new scientific evidence that this can contribute to poor health regardless of how much physical activity a person does.
- Trial name
- iWatch (NCT01775826)
- Testing
- Measurement
- Where
- United States
- Volunteers
- 225 people, healthy volunteers welcome
- Sponsor
- University of California, San Diego
Keratoconus, Keratoconus, Artificial Intelligence, Support Vector Machine
Predicting Manifest Astigmatism in Keratoconus Patients.
The cornea of the human eye has several functions. It is transparent to allow light into the eye and its shape focuses the incoming light onto the retina.
- Trial name
- NCT06798779
- Testing
- Glasses, Corneal topography
- Where
- United Kingdom
- Volunteers
- 800 people
- Sponsor
- Royal Devon and Exeter NHS Foundation Trust
Emergency Medicine
International Big Data Centre in Emergency Medicine
This observational study aims to use electronic health records to build an International Big Data Centre in Emergency Medicine, within the Institute of Sciences in Emergency Medicine (ISEM) at the Guangdong Provincial People's…
- Trial name
- NCT05616416
- Where
- China
- Volunteers
- 500,000 people
- Sponsor
- Guangdong Provincial People's Hospital
Hydrocephalus in Children
Precision Surgery for Pediatric Hydrocephalus: VPS vs. ETV With ML-Guided Prediction
Study type: Multicenter retrospective cohort study with prospective validation Primary purpose: To determine whether an individualized, imaging-guided treatment algorithm Ventriculoperitoneal shunt (VPS) vs endoscopic third…
- Trial name
- VPS ETV ML (NCT07330206)
- Testing
- MRI-Guided Precision Shunt or ETV Strategy
- Where
- China
- Volunteers
- 800 people
- Sponsor
- West China Hospital
Drowning, Drowning and Submersion While in Bath-Tub
Using Machine Learning to Optimise the Danish Drowning Formula
The Danish Drowning Formula (DDF) was designed to search the unstructured text fields in the Danish nationwide Prehospital Electronic Medical Record on unrestricted terms with comprehensive search criteria to identify all…
- Conditions
- Drowning, Drowning and Submersion While in Bath-Tub, Drowning and Submersion While in Natural Water, Drowning and Submersion While in Swimming-Pool
- Trial name
- DROWN_DDF2 (NCT06310525)
- Testing
- Drowning incident
- Where
- Denmark
- Volunteers
- 1,500 people
- Sponsor
- Prehospital Center, Region Zealand
Perinatal Mortality, Neonatal Morbidities
Machine Learning From Fetal Flow Waveforms to Predict Adverse Perinatal Outcomes
The aim of this study is to get a proof of concept for using a computational model of fetal haemodynamics, combined with machine learning based on Doppler patterns of the fetal cardiovascular, cerebral and placental flows, to…
- Trial name
- NCT03398551
- Volunteers
- 525 people, healthy volunteers welcome
- Sponsor
- Aga Khan University
Bipolar Disorder
Bipolar Disorder and Oxidative Stress Injury Mechanism - Clinical Big Data Analysis Based on Machine Learning
This study is a single-center, retrospective, cross-sectional study. We plan to work with our network information center to analysis the related indicators of oxidative stress injury in patients with bipolar disorder based on…
- Trial name
- NCT03949218
- Where
- China
- Volunteers
- 3,702 people
- Sponsor
- Shanghai Mental Health Center
Machine Learning, Prediction Models
Timely Ordering of Pharmacogenetic Testing
The goal of this trial is to learn if a machine learning (ML) model can help optimize drug therapy in the pediatric population. The main question[s] it aims to answer are whether a machine learning model predicting receipt of a…
- Conditions
- Machine Learning, Prediction Models, Pediatrics, Precision Medicine
- Trial name
- NCT06902688
- Testing
- ML-based intervention
- Where
- Canada
- Volunteers
- 275 people
- Sponsor
- The Hospital for Sick Children
Jawbone Cysitc Lesion
Radiomics for Preoperative Jaw Cyst Differentiation
This study focuses on jawbone cystic lesions, including odontogenic tumors like ameloblastoma and various cysts. Treatment approaches differ; ameloblastomas often require surgical excision due to potential recurrence and…
- Trial name
- NCT06579768
- Testing
- different types of computed tomography (CT) scans
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Degenerative Lumbar Diseases, Cage
Development and Validation of Interpretable Machine Learning Models Incorporating Paraspinal Muscle Quality for to Predict Cage Subsidence Risk Followingposterior Lumbar Interbody Fusion
The study focuses on identifying risk factors for cage subsidence after posterior lumbar interbody fusion (PLIF) and developing an interpretable machine learning model to predict these risks.
- Conditions
- Degenerative Lumbar Diseases, Cage, Machine Learning
- Trial name
- NCT06888739
- Testing
- MR4
- Where
- China
- Volunteers
- 720 people, healthy volunteers welcome
- Sponsor
- Hao Liu
Tuberous Sclerosis Complex
Predicting Epileptogenic Tubers in Patients with Tuberous Sclerosis Complex
Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging because ETs lack distinct pathological or genetic markers that differentiate them from other…
- Trial name
- NCT06789419
- Volunteers
- 112 people
- Sponsor
- Beijing Children's Hospital
Bone Marrow Transplantation, AML
Model-Informed Precision Dosing on Cyclosporine Therapy in Hematopoietic Stem Cell Transplant Recipients
The purpose of this study is to develop a new tool that helps doctors choose the right cyclosporine dose for patients undergoing bone marrow transplantation.
- Trial name
- NCT07695571
- Volunteers
- 300 people
- Sponsor
- Yasmin medhat munir Mohamed
Chronic Pancreatitis, Pancreatic Neoplasm
Prediction Model of Pancreatic Neoplasms in CP Patients With Focal Pancreatic Lesions
This study aims to develop XGBoost machine learning model to predict pancreatic neoplasms in CP patients with focal pancreatic lesions.
- Conditions
- Chronic Pancreatitis, Pancreatic Neoplasm, Machine Learning
- Trial name
- NCT07045181
- Testing
- XGBoost machine learning
- Where
- China
- Volunteers
- 113 people
- Sponsor
- Changhai Hospital
Systemic Lupus Erythematosus, Rheumatoid Arthritis
Electromagnetic Immunotherapy Mapping and Cytokine Forecasting Study (QSIT)
The ImmuneNet study is a Phase I/II clinical trial sponsored by Truway Health, Inc. It will test whether gentle, low-frequency electromagnetic resonance (LF-EMR) can influence how immune cells communicate and synchronize with…
- Conditions
- Systemic Lupus Erythematosus, Rheumatoid Arthritis, Multiple Sclerosis, Autoimmune Diseases
- Trial name
- QSIT (NCT07221565)
- Testing
- Low-Frequency Electromagnetic Resonance Therapy (LF-EMR), Low-Dose Naltrexone (LDN)
- Where
- United States
- Volunteers
- 120 people
- Sponsor
- Truway Health, Inc.
Cardiovascular Diseases
Automated ICD Coding of Primary Diagnosis Based on Machine Learning
This study aims to develop and validate machine learning model in ICD-10 coding of primary diagnosis related to cardiovascular diseases in Chinese corpus.
- Trial name
- NCT04817423
- Testing
- No intervention
- Where
- China
- Volunteers
- 74,880 people
- Sponsor
- China National Center for Cardiovascular Diseases
Hyperandrogenism
Combined Use of Machine Learning and Metabolomics to Improve the Diagnosis and Management of Hyperandrogenism
Hyperandrogenism is a common reason for consultation, the causes of which can range from common conditions (PCOS) to rarer conditions with major genetic implications (NC21OHD).
- Trial name
- HYPERMETABO (NCT07253454)
- Testing
- data collection
- Volunteers
- 800 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Autoimmune Hepatitis
Machine Learning for Prediction of Therapy Response in Autoimmune Hepatitis
The 5th International Autoimmune Hepatitis Group (IAIHG) research workshop emphasized the integration of large clinical cohorts with artificial intelligence (AI) for enhanced prediction of therapy responses and outcomes in…
- Trial name
- NCT07378202
- Where
- 2 sites in Germany
- Volunteers
- 5,000 people
- Sponsor
- Hannover Medical School
Intrahepatic Cholangiocarcinoma (Icc)
A Study on Intratumoral Fibrosis and α-SMA Expression in Intrahepatic Cholangiocarcinoma
The aim of this observational study was to understand the prognostic imaging of the degree of intratumoral fibrosis and intratumoral α-SMA levels in patients with intrahepatic cholangiocarcinoma (ICC).
- Trial name
- NCT07479264
- Testing
- No Interventions
- Where
- China
- Volunteers
- 169 people
- Sponsor
- First Affiliated Hospital, Sun Yat-Sen University
Class I Malocclusion, Class II Div 1 Malocclusion
Assesment of Ethnic Bias in an Artificial Intelligence Based Orthodontic Diagnosis System
This study explores how artificial intelligence (AI) can be used in orthodontics, which is the area of dentistry that focuses on correcting jaw and bite problems.
- Conditions
- Class I Malocclusion, Class II Div 1 Malocclusion, Class II Division 2 Malocclusion, Class III Malocclusion
- Trial name
- NCT07162753
- Where
- Turkey (Türkiye)
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Bezmialem Vakif University