Clinical trials: Prediction Model
Graft Rejection, Kidney Transplantation
Artificial Intelligence Model for Renal Allograft Rejection Identification, Lesion Quantification and Rejection Risk Prediction Based on Prospective Renal Transplant Pathology and Clinical Multidimensional Data
This prospective research collects leftover kidney biopsy tissue slides and matching routine clinical data from patients who received kidney transplants and underwent standard kidney puncture biopsy at Zhejiang University School…
- Conditions
- Graft Rejection, Kidney Transplantation, Glomerulonephritis, Polyomavirus Infections
- Trial name
- NCT07741552
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Chen Dajin
Osteoporosis, Low-energy Trauma Fracture
3D Imaging of the Hip Using DXA
The study aims to determine the efficacy and best methods for predicting hip fractures and diagnosing post-menopausal osteoporosis using three dimensional structural engineering models (SEMs) of proximal femoral bone produced…
- Trial name
- 3DScans (NCT00666640)
- Testing
- DXA scan of hip, CT scan of hip
- Where
- United Kingdom
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Sheffield Teaching Hospitals NHS Foundation Trust
Lymphedema Arm
Integrating Clinical, Protein Expression, and Genetic Markers to Predict Lymphedema in Breast Cancer
The goal of this observational ambidirectional cohort study is to develop a prediction model to identify the risk of lymphedema after axillary lymph node dissection (ALND) in patients with breast cancer.
- Trial name
- NCT07252843
- Where
- Indonesia
- Volunteers
- 133 people
- Sponsor
- Dharmais National Cancer Center Hospital
Spinal Epidural Hematoma
Establishment of Clinical Prediction Model for Postoperative Symptomatic Spinal Epidural Hematoma
The goal of this observational study is to establish a clinical prediction model based on artificial intelligence algorithms for patients with postoperative symptomatic spinal epidural hematoma(PSSEH) after spinal surgery.
- Trial name
- NCT06633848
- Testing
- spinal surgery
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Peking University Third Hospital
The Focus is to Validate the Accuracy of a Non-invasive Artificial Intelligence Model for the Prediction of the Human Blastocyst Ploidy, Preimplantation Genetic Testing (PGT)
Evaluation of an Artificial Intelligence Model for the Prediction of Human Blastocyst Ploidy Without Invasive Procedures
The goal of this clinical trial is to evaluate an artificial intelligence model for the prediction of human blastocyst ploidy without invasive procedures in couples that receive preimplantation genetic testing.
- Trial name
- NCT06762704
- Testing
- Video recording
- Where
- 5 sites in China
- Volunteers
- 1,408 people
- Sponsor
- The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Difficult Airway
AI-based Prediction Model of Difficult Tracheal Intubation Using Medical Image Parameters
Difficult airway is a life-threatening event during anesthesia. Prediction model is helpful to detect high-risk patients and decrease the risk of un-anticipated difficult airway.
- Trial name
- NCT06982144
- Where
- China
- Volunteers
- 228 people
- Sponsor
- Mu Dong Liang
Wounds and Injuries
Transferability of Clinical Prediction Models for Early Trauma Care in a Swedish Setting
Trauma is one of the top threats to population health globally. A substantial body of research has been devoted to the development of clinical prediction models to aid early decision making in trauma care.
- Trial name
- NCT02940678
- Testing
- No intervention
- Volunteers
- 26,965 people
- Sponsor
- Karolinska Institutet
Pulmonary Embolism
Pulmonary Embolism in Pregnancy: Biomarkers and Clinical Predictive Models
Objective: To evaluate whether trimester specific d-dimer levels and brain natriuretic protein (BNP), along with the modified Wells score (MWS), is a useful risk stratification tool to exclude pregnant women at low-risk of…
- Trial name
- NCT02709174
- Testing
- blood draw
- Volunteers
- 59 people
- Sponsor
- Wake Forest University Health Sciences
Postoperative Sleep Disturbance
Dynamic Prediction of Sleep Protection Demand on the First Postoperative Night and Its Influence on Ward Process After Thoracoscopic Lobectomy or Segmentectomy
This study combines retrospective data analysis with a single-center prospective non-interventional cohort study to understand postoperative sleep disturbance on the first night after video-assisted thoracoscopic (VATS) lobectomy…
- Trial name
- NCT07716085
- Testing
- Video-assisted thoracoscopic (VATS) lobectomy or segmentectomy
- Volunteers
- 400 people
- Sponsor
- The Fourth Affiliated Hospital of Zhejiang University School of Medicine
Post-traumatic Stress Disorder (PTSD)
PTSD Risk Prediction Model for EICU Survivors
Brief Title: PTSD Risk Prediction Model for EICU Survivors Official Title: Development and Validation of a Risk Prediction Model for Post-Discharge Post-Traumatic Stress Disorder in Emergency Department-Admitted EICU Survivors…
- Trial name
- NCT07747415
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Sir Run Run Shaw Hospital
Lung Cancer
Formatting the Risk Prediction Models for Never-Smoking Lung Cancer
Lung Cancer is the leading cause of cancer-related deaths in Taiwan and worldwide and the incidence is also increasing. The payment for lung cancer which occupies the largest part of National Health Insurance expense is over 15…
- Trial name
- FORMOSA (NCT05572944)
- Testing
- LDCT lung cancer screen, immediately, LDCT lung cancer screen, later
- Where
- 7 sites in Taiwan
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Chung Shan Medical University
Soft-tissue Sarcoma, Predictive Cancer Model
The Value of a Risk Prediction Tool (PERSARC) for Effective Treatment Decisions of Soft-tissue Sarcomas Patients
The goal of this clinical trial is to assess the (cost-)effectiveness of a personalised risk assessment tool (PERSARC) to increase patients' knowledge about risks and benefits of treatment options and to reduce decisional…
- Trial name
- VALUE_PERSARC (NCT05741944)
- Testing
- Care with the use of PERSARC, standard care
- Where
- 7 sites in Netherlands
- Volunteers
- 120 people
- Sponsor
- Leiden University Medical Center
Mitochondrial Diseases
Establishment of Reproductive Cohort and Prediction Model of Genetic Counseling for Mitochondrial Genetic Diseases
The goal of this observational study is to provide a reference for clinicians to conduct genetic counseling and carry out preimplantation genetic testing of mitochondrial patients.
- Trial name
- NCT06450964
- Testing
- Biological samples such as blood, urine, oral epithelial cells and nails of carriers were collected, and the mitochondrial DNA mutation heterogeneity level was determined.
- Where
- China
- Volunteers
- 600 people
- Sponsor
- Anhui Medical University
Anesthesia for Elective Surgery Patients, Anesthesia Brain Monitor
Reevaluation Prediction of the Effect Site Propofol Eleveld Model Using Slow and Fast Induction
Patients ASA1-2, 18 to 70 years old, scheduled for elective surgery with personal conset to participate, will be randomised into two groups using different induction mode.
- Conditions
- Anesthesia for Elective Surgery Patients, Anesthesia Brain Monitor, Pharmacodynamics
- Trial name
- fast or slow E (NCT07237477)
- Testing
- Evaluation of the prediction of from the propofol PKPD model including in TCI pumps using fast (Effect site mode TCI) or slow (plasma TCI mode) induction
- Where
- Chile
- Volunteers
- 70 people
- Sponsor
- Pablo O. Sepulveda
Carotid Stenosis, Ischemic Stroke
Comprehensive Assessment of Atherosclerotic Ischemic Stroke Risk and Development of a Prediction Model
This observational study was designed for the assessment of plaque vulnerability in patients with carotid atherosclerotic stenosis and the development of predictive models for the occurrence and recurrence of atherosclerotic…
- Trial name
- CAIS-pre (NCT06315153)
- Where
- 2 sites in China
- Volunteers
- 500 people
- Sponsor
- Xuanwu Hospital, Beijing
Ovarian Cancer
Identification of Risk Factors and Construction of Prediction Model for Postoperative Intestinal Anastomotic Leakage in Ovarian Cancer
This study was a multicenter, retrospective cohort study. Although advancements in surgical techniques have mitigated the incidence of intestinal anastomotic fistula, complete avoidance remains elusive.
- Trial name
- NCT06458361
- Testing
- Type of bowel resection, surgical complexity score, intraoperative blood loss, perioperative erythrocyte transfusion, type of anastomosis
- Where
- China
- Volunteers
- 401 people
- Sponsor
- Zhongda Hospital
ST Elevation (STEMI) Myocardial Infarction
Development and Validation of a Cardiac Magnetic Resonance-Based Multimodal Deep Learning Model for Long-Term Outcome Prediction in ST-Segment Elevation Myocardial Infarction
Objective: This study aims to develop and test a novel artificial intelligence-based prediction model. This model will integrate cardiac magnetic resonance imaging and clinical data to predict the long-term risk of major adverse…
- Trial name
- NCT07277400
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Qian geng
Chronic Obstructive Pulmonary Disease Severe
Risk Prediction Model for Exacerbating Phenotype in Patients With Chronic Obstructive Pulmonary Disease
This study is planned to be conducted based on the cohort of patients with severe chronic obstructive pulmonary disease in our hospital.
- Trial name
- NCT06198309
- Where
- China
- Volunteers
- 365 people
- Sponsor
- Li An
Acute Ischemic Stroke
Prognostic Prediction Model of Patients With AcUte Stroke undeRgoing EndOvascular TheRApy (AURORA)
Stroke is the leading cause of disability-adjusted life years (DALYs) in China, imposing a heavy burden on society and families.
- Trial name
- AURORA (NCT06009315)
- Where
- China
- Volunteers
- 949 people
- Sponsor
- Beijing Tiantan Hospital
Rectal Cancer
Exploring the Predictive Effect of Intestinal and Oral Microbiota on the Efficacy of Neoadjuvant Radiotherapy and Chemotherapy for Locally Advanced Rectal Cancer Based on Machine Learning
This study is a one-year, observational, prospective cohort study. For enrolled patients with newly diagnosed locally advanced rectal cancer, the treatment plan will be decided by the physician based on the 2022 NCCN Rectal…
- Trial name
- NCT07346729
- Where
- China
- Volunteers
- 60 people
- Sponsor
- Nanfang Hospital, Southern Medical University