Clinical trials: Prediction Model
Plasticizers
Develop a Risk Prediction Model for Phthalate-ester-induced Diseases
This exploratory study collected basic demographic and laboratory data from the Taiwan Biobank using artificial intelligence algorithms and applied data mining to identify the correlations between phthalate esters…
- Trial name
- NCT05892029
- Where
- 2 sites in Taiwan
- Volunteers
- 1,136 people, healthy volunteers welcome
- Sponsor
- National Taipei University of Nursing and Health Sciences
Sepsis
A Machine Learning Predictive Model for Sepsis
Timely and accurately predicting the occurrence of sepsis and actively intervening in treatment may effectively improve the survival and cure rate of patients with sepsis.
- Trial name
- NCT04771429
- Where
- China
- Volunteers
- 4,500 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Ovarian Cyst
Assessment of Ovarian Cysts Using Machine Learning
The study aims at creating a prediction model using machine learning algorithms that is capable of predicting malignant potential of ovarian cysts/masses based on patient characteristics, sonographic findings, and biochemical…
- Trial name
- OCID (NCT05342298)
- Testing
- prediction model
- Where
- 2 sites in Egypt
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Assiut University
Attention Deficit Hyperactivity Disorder
Event Rate and Effects of Stimulants in ADHD
Stimulants alleviate information processing and task performance deficits in Attention Deficit/Hyperactivity Disorder (ADHD). Long acting formulations of amphetamines such as lisdexamphetamine dimesylate (LDX) are especially…
- Trial name
- ERESA (NCT01913912)
- Testing
- LDX., sugar pill, computer task (Go/No-Go task)
- Where
- 2 sites in Belgium
- Volunteers
- healthy volunteers welcome
- Sponsor
- University Ghent
Genotype
AI-Driven Genotype Prediction Using EHR and Multimodal Data
The goal of this clinical study is to explore the potential of using electronic health records (EHR) and multimodal data (such as imaging, lab results, and clinical history) to predict a patient's genotype.
- Trial name
- NCT06791421
- Testing
- AI-Predictng Model
- Where
- 4 sites in China
- Volunteers
- 100,000 people, healthy volunteers welcome
- Sponsor
- The Eye Hospital of Wenzhou Medical University
Moyamoya Disease, Intracranial Hemorrhages
5T MRI and Metabolomics-Based Hemorrhage Risk Prediction in Moyamoya Disease
Intracranial hemorrhage is a leading cause of death and disability in patients with moyamoya disease (MMD), yet clinically available tools for predicting long-term hemorrhage risk are lacking.
- Conditions
- Moyamoya Disease, Intracranial Hemorrhages, Stroke
- Trial name
- NCT07781579
- Where
- China
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- Beijing Hospital
Liver Cirrhosis, Malnutrition
Establishment of a Model for Predicting the Prognosis of HBV-related Decompensated Liver Cirrhosis Based on RFH-NPT
For all countries, chronic liver disease and liver cirrhosis is one of the important disease burdens. Malnutrition is an important complication of liver cirrhosis, which always runs through the course of liver cirrhosis.
- Trial name
- NCT05513651
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- First Affiliated Hospital Xi'an Jiaotong University
Depression
The Quantitative Study of the Habenula Based on Multi-channel Cascaded Neural Network and the Establishment of the Prediction Model of the Curative Effect in Patients With Depression
Depression is the second leading cause of disease burden in our country. It has serious effects on the physical and mental health of human beings, and about 30% of patients with depression are unresponsive or respond poorly to…
- Trial name
- NCT05872607
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- The First Hospital of Jilin University
Military Activity
Body Fat Percentage Prediction Model After Basic Combat Training on Army Candidate in Indonesia
This research is a quantitative study using the Pre-Experimental Model One-Group Pretest-Posttest Design with total sampling from the Republic of Indonesia Defense University batch 4 cadets that fullfiled criteria.
- Trial name
- NCT06134427
- Testing
- basic combat training (investigator did not design the intervention)
- Where
- Indonesia
- Volunteers
- 258 people, healthy volunteers welcome
- Sponsor
- Universitas Indonesia
Postoperative Infections, Mandibular Nerve Injuries
Surgeons' Prediction of Dental Surgery Complications and the Influence of Patient Characteristics: Development of an AI Model
The goal of this observational study is to learn how to better predict and prevent intra- and postoperative complications in oral surgery in adult patients referred for oral surgical procedures.
- Conditions
- Postoperative Infections, Mandibular Nerve Injuries, Alveolar Osteitis, Complication
- Trial name
- NCT07461324
- Where
- 2 sites in Denmark
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- University of Copenhagen
Placenta Accreta Spectrum
Risk Factors, Prognosis and Prediction Models for Placenta Accreta Without Prior Cesarean Section
1. Identify the risk factors for Placenta accreta spectrum (PAS) disorders in women without prior caesarean section (CS). 2. Clarify the prognostic factors of the disease and explore individualized treatment options to improve…
- Trial name
- NCT06383923
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Peking University Third Hospital
Real-world Study
AI-Assisted Medical Decision-Making
The study builds and applies an AI model to help doctors predict patient diagnoses and outcomes, such as survival or hospital stay.
- Trial name
- NCT06846229
- Testing
- AI-associated strategy
- Where
- 2 sites in China
- Volunteers
- 50,000,000 people, healthy volunteers welcome
- Sponsor
- The Eye Hospital of Wenzhou Medical University
Neonatology
Optimization and Clinical Study of Early Prediction Model for Neonatal Acute Respiratory Distress Syndrome
The goal of this observational study is to learn about neonatal acute respiratory distress syndrome in describe participant population.
- Trial name
- NCT05647850
- Testing
- No intervention
- Where
- 2 sites in China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- University-Town Hospital of Chongqing Medical University
Brain Injuries, Pulmonary Embolism
Improving the Stewardship of Diagnostic Imaging Resources in Alberta Emergency Departments
Utilization of diagnostic imaging in the Emergency Department has increased dramatically over the past two decades, driven by an increased availability of advanced imaging, legal pressures to exclude serious diagnoses in low-risk…
- Trial name
- NCT02410941
- Testing
- Clinical decision support
- Where
- 16 sites in Canada
- Volunteers
- 52,058 people, healthy volunteers welcome
- Sponsor
- University of Calgary
Trauma Injury, Haemorrhagic Shock
Prediction of Massive Transfusion in Trauma Patients
Since the 2000s, many prognostic scores were developed to predict traumatic haemorrhage. Most of these studies were retrospectives based on registers.
- Conditions
- Trauma Injury, Haemorrhagic Shock, Bleeding, Emergencies
- Trial name
- MTP (NCT04561050)
- Testing
- Comparison of score performances (Overall performance, discrimination and calibration)
- Where
- Switzerland
- Volunteers
- 13,222 people, healthy volunteers welcome
- Sponsor
- Centre Hospitalier Universitaire Vaudois
Drug Addiction
Construction of Early Warning Model for the New Psychoactive Substances Using in Adolescents
Based on the biological-psychology-sociological medicine pattern, this study aims to construction an early warning model of the New Psychoactive Substances (NPS) using for adolescents aged 14-35 years old.
- Trial name
- NCT05958641
- Testing
- Questionnaires
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Wei XIA, PhD
HIV Infections, Preexposure Prophylaxis (PrEP)
Clinical Decision Support for PrEP
Scale-up of HIV preexposure prophylaxis (PrEP) is a key strategy of the federal initiative to end the HIV epidemic. However, healthcare providers lack tools to identify patients who are at increased risk for HIV infection and…
- Trial name
- PrEDICT (NCT05245201)
- Testing
- Standard of care, Clinical decision support for PrEP
- Where
- 3 sites in United States
- Volunteers
- 4 people, healthy volunteers welcome
- Sponsor
- Harvard Pilgrim Health Care
High-risk, Bipolar Disorder
A Cohort Study of Disease Prediction Model for High-risk Population With Bipolar Disorder
Bipolar disorder (BD) is a serious, complicated, familial aggregation onset of mental illness, which has the characteristics of five-low and one-high, namely high prevalence, high recurrence rate, high morbidity and mortality…
- Conditions
- High-risk, Bipolar Disorder, Atypical Depression
- Trial name
- DPM-rBD (NCT07031661)
- Testing
- This was an observational study with no intervention.
- Where
- China
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Shanghai Mental Health Center
Brain (Nervous System) Cancers, Brain Arterial Disease
A Vision-Language Foundation Model for Brain Disease Diagnosis From Multimodal Data
The goal of this observational study is to develop an innovative, comprehensive, and explainable AI vision-language foundation model (VLM) to advance the diagnosis and interpretation of brain diseases using multi-modal data.
- Conditions
- Brain (Nervous System) Cancers, Brain Arterial Disease, Neuro-Degenerative Disease, Brain Tumors
- Trial name
- NCT07126821
- Testing
- No Interventions
- Where
- China
- Volunteers
- 100,000 people, healthy volunteers welcome
- Sponsor
- Xiangya Hospital of Central South University
Severe Early Childhood Caries, Caries
Construction of a Multidimensional Risk Prediction Model for Severe Early Childhood Caries
This study aims to address the high prevalence and recurrence rate of severe early childhood caries (S-ECC) by breaking away from the traditional single biological factor perspective and introducing the theories of "24-hour…
- Trial name
- NCT07335744
- Testing
- questionnaire survey
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- The Children's Hospital of Zhejiang University School of Medicine