Clinical trials: Prediction Model
Ovarian Neoplasms
A Cohort Study of Hereditary Ovarian Cancer Risk Prediction Models and Pathogenesis Exploration
The aim of this project is to establish a bidirectional multicenter cohort of hereditary ovarian cancer and to describe the clinicopathologic features of hereditary ovarian cancer patients in our country.
- Trial name
- NCT06564428
- Testing
- Suspective gene mutations and family history
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Peking University Third Hospital
Pulmonary Nodules, Lung Neoplasms
Deep Learning Time-Series Prediction of Long-Term Growth Patterns of Pulmonary Ground-Glass Nodules Using Serial CT
Pulmonary ground-glass nodules (GGNs) are commonly found on chest CT scans. Some stay stable for years, while others slowly or rapidly turn into lung cancer.
- Conditions
- Pulmonary Nodules, Lung Neoplasms, Adenocarcinoma of Lung
- Trial name
- GGN-Trajectory (NCT07647692)
- Testing
- Serial Thin-Slice Chest CT
- Where
- China
- Volunteers
- 4,750 people
- Sponsor
- Peking University People's Hospital
Insomnia
Intelligent Diagnosis and Treatment Model for Insomnia Disorder
To establish a multicenter, multi-dimensional cohort on insomnia disorder and to develop an intelligent model for the diagnosis and treatment of insomnia disorder.
- Trial name
- NCT06375447
- Testing
- Routine clinical treatment
- Where
- 5 sites in China
- Volunteers
- 16,000 people
- Sponsor
- Xuanwu Hospital, Beijing
Postoperative Nausea and Vomiting
Real-time Decision Support for Postoperative Nausea and Vomiting (PONV) Prophylaxis
The purpose of this study is to determine how automated recommendations are best presented to optimize the adherence to guidelines on prophylaxis for nausea and vomiting after surgery.
- Trial name
- NCT02625181
- Testing
- Automated recommendation at the start of the case, Automated notification at the start of surgery, Preoperative recommendations: by email
- Where
- United States
- Volunteers
- 27,034 people
- Sponsor
- Vanderbilt University
Endometrial Cancer
Different Risk Stratification Models for Prediction of Lymph Node Involvement in Endometrial Carcinoma
Endometrial cancer is the most common malignant disease of the female genital tract and the seventh most common cause of cancer death in women in Western countries.
- Trial name
- NCT04120649
- Testing
- hysterectomy
- Where
- Egypt
- Volunteers
- 50 people
- Sponsor
- Assiut University
Non-Attendance, Patient, No-Show Patients
Non-attendance Prediction Models to Pediatric Outpatient Appointments
Non-attendance to pediatric outpatient appointments is a frequent and relevant public health problem. Using different approaches it is possible to build non-attendance predictive models and these models can be used to guide…
- Trial name
- NCT06077630
- Testing
- No intervention
- Volunteers
- 300,000 people
- Sponsor
- Hospital General de Niños Pedro de Elizalde
Intensive Care Unit Syndrome, Prediction
Machine Learning-based Longitudinal Study of Post-ICU Syndrome Development Trajectory in Critically Ill Patients and Construction of Clinical Early Warning Models: a Research Protocol for Longitudinal Study
This project intends to track and evaluate whether post-ICU syndrome will occur 7 days, 1 month, 3 months and 6 months after ICU patients are transferred out of the ICU through a longitudinal study, apply the latent category…
- Conditions
- Intensive Care Unit Syndrome, Prediction, Cognitive Impairment, Sleep Disorder
- Trial name
- NCT06427265
- Where
- China
- Volunteers
- 840 people, healthy volunteers welcome
- Sponsor
- The Affiliated Hospital Of Guizhou Medical University
Trilaciclib, CDK4/6-dependent Solid Tumors
Trilaciclib in Combination With Chemotherapy in Patients With CDK4/6-Dependent Solid Tumors
Trilaciclib, an innovative first-in-class therapy that protects bone marrow at the source, has been approved for use in CDK4/6-independent small-cell lung cancer.
- Trial name
- NCT07490236
- Testing
- Trilaciclib group
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Hebei Medical University Fourth Hospital
Deep Learning, Artificial Intelegence
Development of a Scoring and Prediction Model for Weaning Success in ARDS Patients Using Ventilation Parameters Combined with Artificial Intelligence and Deep Learning Techniques
This study aims to develop an AI-supported scoring model to optimize the weaning processes of ARDS patients from mechanical ventilation.
- Conditions
- Deep Learning, Artificial Intelegence, ARDS (Acute Respiratory Distress Syndrome)
- Trial name
- NCT06751693
- Where
- Turkey (Türkiye)
- Volunteers
- 25,000 people
- Sponsor
- Bakirkoy Dr. Sadi Konuk Research and Training Hospital
Venous Thromboses, Neoplasms
Risk Factors and Prediction Model of Cancer-associated Venous Thromboembolism
The purpose of this study is to identify risk factors of cancer-associated venous thrombosis and develop a prediction model to assist clinicians in tailoring anticoagulant therapy.
- Trial name
- NCT05729464
- Where
- China
- Volunteers
- 700 people
- Sponsor
- Yongsheng Jiang
Atrial Fibrillation Recurrence
Atrial Fibrillation Recurrence Prediction
We aimed to develop an dual-branch deep learning network that integrates feature representations extracted from medical texts using large language models, with structured data features derived from perioperative records of AF…
- Trial name
- NCT06977516
- Where
- 5 sites in China
- Volunteers
- 2,508 people
- Sponsor
- The Fourth Affiliated Hospital of Zhejiang University School of Medicine
NSCLC (Non-small Cell Lung Cancer), Artificial Intelligence (AI)
Artificial Intelligence-based Model for the Prediction of Occult Lymph Node Metastasis and Improvement of Clinical Decision-making in Non-small Cell Lung Cancer
This nationwide, multicenter observational study aims to develop and validate a multimodal artificial intelligence (AI) model for detecting occult lymph node metastasis in early-stage non-small cell lung cancer (NSCLC) patients.
- Conditions
- NSCLC (Non-small Cell Lung Cancer), Artificial Intelligence (AI), Lymphnode Metastasis
- Trial name
- NCT06684418
- Testing
- chest enhanced CT
- Where
- China
- Volunteers
- 6,000 people
- Sponsor
- Fudan University
Cardiac and Aortic Surgery
Echography to Predict Radial Artery Catheterization Failure (EPRAC)
In patients undergoing cardiac or aortic surgery, the placement of a radial KTA is sometimes difficult, the purpose of this study is to do an ultrasound in order to evaluate the diagnostic values of the internal diameter of the…
- Trial name
- EPRAC (NCT04730479)
- Where
- France
- Volunteers
- 330 people
- Sponsor
- University Hospital, Montpellier
Sciatica, Low Back Pain
Artificial Intelligence (AI)-Based Prediction of Treatment Response in Sciatica Patients Receiving Transforaminal Epidural Steroid Injection
This prospective observational study aims to develop artificial intelligence (AI)-based predictive models to estimate treatment response in patients with sciatica undergoing transforaminal epidural steroid injection (TFESI).
- Conditions
- Sciatica, Low Back Pain, Lumbar Spinal Stenosis, Radiculopathy
- Trial name
- NCT07080307
- Where
- Turkey (Türkiye)
- Volunteers
- 1,500 people
- Sponsor
- Marmara University
Body Weight, Post-Op Complication
Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
This Study aims to develop machine learning models with the ability to predict patients' BMI and complications after Bariatric Surgery (CABS-Score).
- Conditions
- Body Weight, Post-Op Complication, Anastomosis, Leaking, Hiatal Hernia
- Trial name
- NCT05710913
- Where
- Switzerland
- Volunteers
- 10,000 people
- Sponsor
- Dr. Med Anas Taha
Post-stroke Depression
Construction and Clinical Validation Study of a Prediction Model for Depression After Ischemic Stroke
Post-stroke depression (PSD) is the most common neuropsychiatric disorder after a stroke, with an incidence rate of 20% to 60%. PSD is not only associated with higher mortality rates, poorer recovery, more obvious cognitive…
- Trial name
- NCT07294274
- Testing
- Group patients based on whether they have been diagnosed with PSD.
- Where
- China
- Volunteers
- 488 people
- Sponsor
- Min Su
Acute Kidney Injury
Perioperative Transcutaneous Fluorescence Detection of GFR Trajectory for the Early Prediction and Diagnosis of CSA-AKI.
brief summary：The goal of this observational study is to evaluate the value of perioperative transcutaneous fluorescence glomerular filtration rate (GFR) monitoring for the early prediction and diagnosis of cardiac…
- Trial name
- NCT07749417
- Where
- China
- Volunteers
- 436 people
- Sponsor
- China National Center for Cardiovascular Diseases
Trauma
Can Prediction Models Triage Trauma Patients More Accurately Than Clinicians?
Using a prospective cohort design, the aim of this study is to compare the performance of clinicians with prediction models in triaging trauma patients.
- Trial name
- NCT02838459
- Where
- India
- Volunteers
- 5,155 people
- Sponsor
- Karolinska Institutet
Postoperative Delirium, Heart Valve Diseases
Transcranial Doppler and Artificial Intelligence Prediction of Postoperative Delirium in Heart Valve Surgery
Postoperative delirium is a frequent complication after cardiac surgery. This prospective observational study will evaluate whether cerebral blood flow velocity measured by transcranial Doppler before and during elective heart…
- Trial name
- NCT07858578
- Where
- Turkey (Türkiye)
- Volunteers
- 120 people
- Sponsor
- Osman Sila Aydin
Hypothermia; Anesthesia
A Risk Prediction Model for Hypothermia After Laparoscopic Gastrointestinal Tumor Surgery
The incidence of postoperative hypothermia in patients with laparoscopic gastrointestinal tumors is high. Hypothermia increases the risk of postoperative complications and medical costs.
- Trial name
- NCT05958550
- Testing
- The tympanic membrane temperature of patients was measured.
- Volunteers
- 480 people
- Sponsor
- RenJi Hospital