Clinical trials: Prediction Model
Renal Cell Carcinoma (RCC), Renal Cyst
The CT-based Deep Learning Model Predicts Complications in Partial Nephrectomy
The investigators combine radiomics and deep learning to analyze the lesions more thoroughly, aiming for a more accurate prediction of complications in partial nephrectomy, and compare this approach with traditional models.
- Trial name
- NCT06876584
- Where
- China
- Volunteers
- 1,474 people
- Sponsor
- Du Lingzhi
Prostate Cancer
Validation of a Machine Learning Model Based on MR for the Prediction of Prostate Cancer
The goal of this observational study is to validate a clinically significant predictive machine learning model based on the processing of images RMmp (Multiparametric Magnetic Resonance Imaging).
- Trial name
- NCT06773598
- Where
- Italy
- Volunteers
- 1,100 people
- Sponsor
- IRCCS Azienda Ospedaliero-Universitaria di Bologna
Hypoglycemia, Diabetes Mellitus, Type 2
Investigating Novel Predictions of Hypoglycemia Occurrence in Real-world Models
Hypoglycemia is the most common diabetes-related adverse event. However, it is often under-reported to healthcare providers by patients and simultaneously, not often asked about by healthcare providers.
- Conditions
- Hypoglycemia, Diabetes Mellitus, Type 2, Diabetes Mellitus, Type 1
- Trial name
- iNPHORM (NCT04219514)
- Where
- United States
- Volunteers
- 1,206 people
- Sponsor
- Stewart Harris
Knee Osteoarthritis, Joint Disease
Multi-variable Prediction Model of Total Knee Replacement Outcome
Total knee arthroplasty (TKA) is a surgical procedure applied as a common solution to overcome limitations produced by advanced stages of severe gonarthrosis.
- Conditions
- Knee Osteoarthritis, Joint Disease, Total Knee Replacement, Arthroplasty Complications
- Trial name
- NCT03894514
- Where
- Spain
- Volunteers
- 243 people
- Sponsor
- University of Valencia
Colorectal Cancer
EOCRCPred: an AI Model to Predict Survival in EOCRC Patients After Surgery
The goal of this observational study is to develop a predictive model for overall survival in patients under the age of 50 who have undergone surgery for early-onset colorectal cancer (EOCRC).
- Trial name
- NCT06690606
- Where
- 2 sites in China
- Volunteers
- 250 people
- Sponsor
- Shanghai University of Traditional Chinese Medicine
Diabetes Mellitus Type 2
Rate of Change of HbA1c (dx/dt) May Predict Progression to Type 2 DM
The investigators hypothesize that the HbA1c shows a rising trend in pre-diabetics and normal population with risk factors of developing type 2 DM.
- Trial name
- NCT01315808
- Where
- United States
- Volunteers
- 542 people
- Sponsor
- Wyckoff Heights Medical Center
Lung Cancer (NSCLC), Leptomeningeal Metastasis
AI-Based Ultrasound Prediction Model for Intracranial Pressure and Prognosis in Lung Cancer Patients With Leptomeningeal Metastasis: A Dual-Center Study
This study focuses on developing an innovative, artificial intelligence-based model using optic nerve sheath ultrasound videos to predict intracranial pressure in lung cancer patients with leptomeningeal metastasis.
- Conditions
- Lung Cancer (NSCLC), Leptomeningeal Metastasis, Intracranial Pressure
- Trial name
- NCT07005791
- Where
- 2 sites in China
- Volunteers
- 142 people
- Sponsor
- The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Artificial Intelligence, Septic Shock
Artificial Intelligence for Sepsis Prediction in ICU
The development of sepsis prediction model in line with Chinese population, and extended to clinical, assist clinicians for early identification, early intervention, has a good application prospect.
- Conditions
- Artificial Intelligence, Septic Shock, Intensive Care Unit Psychosis
- Trial name
- AICUSepsis (NCT04913181)
- Testing
- Artificial intelligence sepsis prediction model
- Volunteers
- 2,000 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Smoking Cessation, Smoking, Tobacco
The Effect of Motivational Interviews Based on the Transtheoretic Model on Pregnant Women's Smoking Cessation Behaviors
This study is planned to determine the effect of online motivational interviews based on the transtheoretic model on the prediction of smoking cessation success, self-efficacy levels and smoking cessation behavior of pregnant…
- Trial name
- NCT05173428
- Testing
- Smoking Cessation Program Based on Transtheoretic Model
- Where
- Turkey (Türkiye)
- Volunteers
- 62 people
- Sponsor
- Cumhuriyet University
Chronic Obstructive Pulmonary Disease (COPD), Asthma
Predicting Dynamic Inspiratory Muscle Strength in COPD and Asthma Patients
This observational study evaluates whether dynamic inspiratory muscle strength can be estimated in patients with chronic obstructive pulmonary disease (COPD) and asthma using simple clinical and performance-based measurements.
- Trial name
- DIMS-PRED (NCT07598292)
- Where
- Turkey (Türkiye)
- Volunteers
- 123 people
- Sponsor
- Hitit University
ST-segment Elevation Myocardial Infarction (STEMI)
A Prospective Multicenter Clinical Study on the Long-term Prognosis of Patients With ST-segment Elevation Myocardial Infarction Using Cardiac Magnetic Resonance Imaging.
This prospective, multicenter study was designed to develop and validate a risk prediction model for major adverse cardiovascular events (MACE) in patients with acute ST-segment elevation myocardial infarction (STEMI) based on…
- Trial name
- NCT07057492
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Chinese PLA General Hospital
NAT2 Genotype
Isoniazid Dosage Prediction Model Development
Isoniazid (INH) is an essential component of first-line anti-tuberculosis (TB) treatment. However, treatment with INH is complicated by polymorphisms in the expression of the enzyme system primarily responsible for its…
- Trial name
- NCT02747654
- Testing
- genotype
- Where
- South Korea
- Volunteers
- 200 people
- Sponsor
- Samsung Medical Center
Ischemic Stroke
Research on AIS Recurrence Risk Prediction Model Using XGBoost Combined With Convolutional Neural Network Algorithm
The purpose of this observational study is to construct a recurrence risk prediction model for ischemic stroke within 1, 3, 6, and 12 months using XGBoost combined with Convolutional Neural Network (CNN) algorithm.
- Trial name
- NCT06796283
- Where
- China
- Volunteers
- 2,628 people
- Sponsor
- Second Affiliated Hospital of Nanchang University
Colorectal Cancer, Peritoneal Metastases
Development and Validation of a PSN-AI Prediction Model
Heterogeneity concerning survival in synchronous peritoneal metastasis from patients with colorectal cancer exists, thereby further classification is urgently required.
- Trial name
- PSN-AI (NCT06231524)
- Testing
- Analyse pathologic slides
- Where
- China
- Volunteers
- 50 people
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
CSA-AKI, Acute Kidney Injury
Establishment of a Perioperative Dynamic Prediction Model for Cardiac Surgery-associated Acute Kidney Injury
Cardiac surgery-associated Acute Kidney Injury (CSA-AKI) is one of the most common complications after cardiovascular Surgery, with an incidence rate as high as 30-50%.
- Conditions
- CSA-AKI, Acute Kidney Injury, Cardiovascular Surgery
- Trial name
- NCT07811583
- Volunteers
- 70,000 people
- Sponsor
- China National Center for Cardiovascular Diseases
Artificial Intelligence, Phlebitis After Infusion
AI Prediction of PIVC-Related Phlebitis
This study aims to develop and validate multimodal AI-based prediction models for peripheral intravenous catheter (PIVC)-related phlebitis by integrating demographic, clinical, catheter-related, and phlebitis image data.
- Conditions
- Artificial Intelligence, Phlebitis After Infusion, Phlebitis
- Trial name
- NCT07889895
- Testing
- Artificial Intelligence-Based Phlebitis Detection Model
- Where
- 2 sites in Turkey (Türkiye)
- Volunteers
- 461 people
- Sponsor
- Kutahya Health Sciences University
Membranous Nephropathy, Nephrotic Syndrome
Clinical Prediction Model for Disease Progression in Primary Membranous Nephropathy
This prospective observational study aims to evaluate predictors of disease progression in patients with primary membranous nephropathy and to assess the performance of a prognostic nomogram in predicting renal outcomes in the…
- Conditions
- Membranous Nephropathy, Nephrotic Syndrome, Kidney Diseases
- Trial name
- NCT07785739
- Volunteers
- 128 people
- Sponsor
- Assiut University
Emergency Medicine, Artificial Intelligence (AI)
Diagnostic Accuracy of GPT-4o and Claude for HEART Score Calculation in Chest Pain
This prospective observational diagnostic accuracy study evaluates whether large language models (LLMs) - GPT-4o (OpenAI, gpt-4o-2024-11-20) and Claude (Anthropic, claude-sonnet-4-6) - can accurately calculate HEART scores from…
- Conditions
- Emergency Medicine, Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis, Chest Pain Rule Out Myocardial Infarction
- Trial name
- LLM-HEART (NCT07626060)
- Testing
- GPT-4o HEART Score Calculator, Claude HEART Score Calculator, Three-Expert Consensus HEART Score
- Where
- Turkey (Türkiye)
- Volunteers
- 690 people
- Sponsor
- Marmara University Pendik Training and Research Hospital
Delirium
DElirium prediCtIon in the intenSIve Care Unit: Head to Head comparisON of Two Delirium Prediction Models
Currently, two ICU delirium prediction models are available: the PRE-DELIRIC model and the early prediction model (E-PRE-DELRIC).
- Trial name
- DECISION (NCT02518646)
- Where
- Netherlands
- Volunteers
- 2,500 people
- Sponsor
- Radboud University Medical Center
Fall, Fall Injury
A Clinical Decision Support System and Patient Portal for Preventing Medication-related Falls in Older Patients
Falls in older adults represents a growing public health challenge. The use of certain medication is recognized as an important modifiable risk factor for falls.
- Conditions
- Fall, Fall Injury, Fall Patients, Accidental Fall
- Trial name
- ADFICE_IT (NCT05449470)
- Testing
- CDSS, Patient Portal
- Where
- 10 sites in Netherlands
- Volunteers
- 800 people, healthy volunteers welcome
- Sponsor
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)