Clinical trials: Machine Learning
Stroke, Acute
Validation of DRAGON Versus a Simplified DRAGON/Machine Learning
The CT-DRAGON score can predict long-term functional outcome after acute stroke treated by thrombolysis. However, implementation in clinical practice is hampered by a lack of validation in the broad spectrum of stroke patients…
- Trial name
- NCT04092543
- Where
- Belgium
- Volunteers
- 700 people
- Sponsor
- Ziekenhuis Oost-Limburg
Renal Clear Cell Carcinoma, HIF-2α
Predicting HIF-2α Levels in Clear Cell Kidney Cancer Using Machine Learning
This project aims to conduct a multicenter retrospective study to collect clinical, CT imaging, and pathological data from patients.
- Conditions
- Renal Clear Cell Carcinoma, HIF-2α, Radiomics, Nomogram
- Trial name
- NCT07332923
- Where
- China
- Volunteers
- 500 people
- Sponsor
- First Affiliated Hospital of Fujian Medical University
Primary Parkinsonism, Secondary Vascular Parkinson Disease
Application of Machine Learning Method in Validation of Screening Cognitive Test for Parkinsonisms
Based on a prospectively collected data analysis, a new tool, namely CoMDA (Cognition in Movement Disorders Assessment) is developed by merging each item of Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment…
- Conditions
- Primary Parkinsonism, Secondary Vascular Parkinson Disease, Multiple System Atrophy, Supranuclear Palsy, Progressive
- Trial name
- CoMDA-ML-P (NCT04858893)
- Testing
- CoMDA associated with Neural Net 91 classificator
- Where
- Italy
- Volunteers
- 562 people, healthy volunteers welcome
- Sponsor
- Ospedale Generale Di Zona Moriggia-Pelascini
Attention Deficit Hyperactivity Disorder
Αn Information System for Symptom Diagnosis and Improvement of Attention Deficit Hyperactivity Disorder (ADHD360)
ADHD360 will be an innovative integrated platform for early ADHD diagnosis and intervention against its symptoms. In the core of the platform design there will be a serious game along with a mobile application to monitor behavior…
- Trial name
- ADHD360 (NCT04362982)
- Testing
- ADHD360 platform: An intervention intergrating a serious game along with a mobile application for daily behavioral monitoring.
- Where
- Greece
- Volunteers
- 43 people, healthy volunteers welcome
- Sponsor
- Aristotle University Of Thessaloniki
Asthma Childhood, Asthma Attack
Remote Monitoring of Asthma in Children and Young People
The objective of this study is to determine whether healthcare data and remotely collected patient data can accurately predict asthma attacks in children and young people aged 5-17 years.
- Conditions
- Asthma Childhood, Asthma Attack, Remote Monitoring, Risk Assessment
- Trial name
- NCT07129616
- Where
- United Kingdom
- Volunteers
- 900 people
- Sponsor
- University of Edinburgh
Pediatric Kidney Transplantation
Model-Informed Precision Dosing of Tacrolimus in Pediatric Kidney Transplantation
The purpose of this study is to develop a novel and applicable dosing algorithm that helps support the clinical decision to achieve tacrolimus levels within the optimal immunosuppression range despite sparse sampling in routine…
- Trial name
- NCT07549230
- Volunteers
- 130 people
- Sponsor
- Helwan University
Colorectal Cancer
Improving Colorectal Cancer Screening in Racially Diverse Zip Codes Using Navigation and Machine Learning (PCSNaP)
The overarching goal of the "PCSNaP" Research Study is to support the Abramson Cancer Center (ACC) of the University of Pennsylvania in carrying out its mission to increase colorectal cancer (CRC) screening completion among…
- Trial name
- PCSNaP (NCT05383976)
- Testing
- Machine Learning Algorithm with Existing Penn Medicine CRC Patient Navigation Program
- Where
- United States
- Volunteers
- 385 people, healthy volunteers welcome
- Sponsor
- Abramson Cancer Center at Penn Medicine
Renal Transplanted Recipients, Kidney Function
Renal Function Prediction in Living Donor Transplant Using Baseline Data
This study aims to predict early post-transplant kidney function in living donor kidney transplant recipients using baseline characteristics of donors and recipients.
- Trial name
- NCT06728995
- Where
- South Korea
- Volunteers
- 3,500 people
- Sponsor
- Seoul National University Hospital
Neurodevelopmental Disorders
A Multi-domain Approach for the Characterization and Early Diagnosis of Neurodevelopmental Disorders
Diagnosis and characterization of neurodevelopmental disorders are considered challenging processes because of their complexity, multi-factoriality and heterogeneity.
- Trial name
- NCT05269927
- Testing
- EEG, DNA samples, clinical data
- Where
- Italy
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- IRCCS Eugenio Medea
Cerebral Palsy
European Newborn Study: Early Markers for a Better LifE
The goal of this observational study is to create a computer model to help doctors predict any problems occurring during development of babies after being diagnosed with brain injury.
- Trial name
- ENSEMBLE (NCT07189494)
- Where
- 8 sites in France, Germany and 3 more
- Volunteers
- 1,000 people
- Sponsor
- dr. M.J.N.L. Benders
Migraine
Machine Learning Assessment of Next-Day Migraine Likelihood
Development of a machine learning (ML) algorithm for assessment of next-day migraine likelihood, drawing on self-reported migraine-related information, and geographic location, collected via the Nerivio app- a mobile application…
- Trial name
- NCT07227194
- Where
- United States
- Volunteers
- 53,065 people
- Sponsor
- Theranica
Bone Age
Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment
The purpose of this study is to understand the effects of using an Artificial Intelligence algorithm for skeletal age estimation as a computer-aided diagnosis (CADx) system.
- Trial name
- NCT03530098
- Testing
- BoneAgeModel
- Where
- 6 sites in United States
- Volunteers
- 1,903 people
- Sponsor
- Stanford University
Out-Of-Hospital Cardiac Arrest
Machine Learning Assisted Recognition of Out-of-Hospital Cardiac Arrest During Emergency Calls.
Emergency medical Services Copenhagen has developed a machine learning model that analyzes the calls to 1-1-2 (9-1-1) in real time. The model are able to recognize calls where a cardiac arrest is suspected.
- Trial name
- NCT04219306
- Testing
- Alert on dispatchers screen 'Suspect cardiac arrest'
- Where
- Denmark
- Volunteers
- 5,242 people
- Sponsor
- Emergency Medical Services, Capital Region, Denmark
Gastrointestinal Hemorrhage
Artificial Intelligent Clinical Decision Support System Simulation Center Study for Technology Acceptance
The purpose of this research study is to measure the effect on of a large language model interface on the usability, attitudes, and provider trust when using a machine learning algorithm-based clinical decision support system in…
- Trial name
- NCT05816473
- Testing
- LLM
- Where
- United States
- Volunteers
- 108 people, healthy volunteers welcome
- Sponsor
- Yale University
Intrapartum Fever
Machine Learning to Predict Fever After Labor Analgesia
Post-labor analgesia intrapartum fever (PAIF) is a serious complication that increases the risk of cesarean delivery, postpartum bleeding, and health problems for newborns.
- Trial name
- NCT07880665
- Testing
- Labor analgesia
- Volunteers
- 6,144 people
- Sponsor
- Chengdu Jinjiang Maternity and Child Health Hospital
Pain, Postoperative
Assessment of Postoperative Pain in Children With Facial Expression Analysis
The present study was conducted to evaluate the use of computer-aided facial expression analysis to assess postoperative pain in children.
- Trial name
- NCT05345275
- Testing
- The facial expressions analyzed
- Where
- Turkey (Türkiye)
- Volunteers
- 83 people, healthy volunteers welcome
- Sponsor
- Uludag University
Breast Neoplasms, Magnetic Resonance Imaging
Artificial Intelligence Analysis for Magnetic Resonance Imaging in Screening and Diagnosis of Breast Cancer
Use Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI. Build an abbreviated protocal, and investigate whether an abbreviated protocol was suitable for breast…
- Trial name
- NCT05243121
- Testing
- MRI
- Where
- China
- Volunteers
- 5,000 people
- Sponsor
- Peking University People's Hospital
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
Lumbar Disc Herniation, Lumbar Degenerative Disease
Multivariate Analysis and Machine Learning Model Risk Prediction of Recurrent Pain After PLIF Surgery for Degenerative Lumbar Spine Disease At Long-term Follow-up
The study was a clinical retrospective study designed to investigate risk factors for long-term recurrent pain after PLIF in patients with lumbar degenerative disease and to improve patient outcomes
- Conditions
- Lumbar Disc Herniation, Lumbar Degenerative Disease, Sarcopenia
- Trial name
- NCT06622356
- Testing
- MRI with Eovist
- Where
- China
- Volunteers
- 452 people, healthy volunteers welcome
- Sponsor
- Hao Liu