Clinical trials: Prediction Model
Cataract
OCT-PRO Model vs. Clinicians: Cataract Surgery Outcome Prediction
Cataract is the leading cause of blindness worldwide, yet 5-20% of patients fail to achieve satisfactory visual recovery after surgery.
- Trial name
- NCT07713069
- Testing
- OCT-PRO prediction model, Routine Preoperative Counseling
- Volunteers
- 534 people
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Deep Vein Thrombosis of the Lower Extremities
AI-Based Prediction Model for Iliofemoral DVT Thrombolysis
This prospective single-arm cohort study aims to develop an AI-powered prediction model for treatment outcomes in patients with acute extensive iliofemoral deep vein thrombosis (IF-DVT) undergoing stent-free pharmacomechanical…
- Trial name
- NCT07181083
- Testing
- Rheolytic thrombectomy
- Where
- Iran
- Volunteers
- 30 people
- Sponsor
- Rajaie Cardiovascular Medical and Research Center
Esophageal Cancer
Standard Follow-Up Program (SFP) for Patients With Esophageal Cancer
Motive: In order to improve the treatment technique, a comprehensive follow-up program is needed to obtain all relevant patient, treatment and toxicity data from esophageal cancer patients.
- Trial name
- SFP OES (NCT02454790)
- Testing
- Radiotherapy
- Where
- Netherlands
- Volunteers
- 10,000 people
- Sponsor
- University Medical Center Groningen
Type 2 Diabetes Mellitus (T2DM)
Study of AI-based Prediction Models for Exercise-Induced Gut Microbiota Alterations in Patients With Type 2 Diabetes
This study is a randomized controlled clinical trial. The participants will be randomized into two groups in a 1:1 ratio: exercise intervention and sedentary control group.
- Trial name
- NCT06931210
- Testing
- Sedentary behavior, Exercise intervention
- Where
- China
- Volunteers
- 79 people
- Sponsor
- Shanghai 6th People's Hospital
ARDS (Acute Respiratory Distress Syndrome), AI (Artificial Intelligence)
Exploration of Diagnosis and Treatment Strategies and Prognostic Prediction Models for Acute Respiratory Distress Syndrome Based on Radiographic Evaluations Assessed by Artificial Intelligence
By using multi-center chest CT data, an intelligent assessment model for the severity of ARDS was constructed. Based on CT quantitative features and clinical characteristics, a prediction model for short-term critical events…
- Trial name
- NCT07328997
- Testing
- CT scan
- Where
- China
- Volunteers
- 400 people
- Sponsor
- Shanghai Zhongshan Hospital
Prostate Cancer
Decision Support Tools for Men With Prostate Cancer- Clinical & Lifestyle Model
A UCSF PI-initiated study with a primary goal to improve decision quality, anxiety, and uncertainty, thereby increasing appropriate uptake of active surveillance and reducing over-treatment of low-risk prostate cancer.
- Trial name
- NCT02451345
- Testing
- Personalized risk model+website+coaching intervention
- Where
- 2 sites in United States
- Volunteers
- 58 people
- Sponsor
- University of California, San Francisco
Microemboli, Stroke
A Multicenter Study to Optimize Microembolic Signal Classification Based on Double--Blind Multiparametric Assessment by Human Experts Using an Universal Graphical Interface [MESOMEGA]
Microembolic signals (MES) is a powerful predictor of future embolic events. This study aims to develop and validate a accurate model of classification of MES obtained by transcranial Doppler.
- Conditions
- Microemboli, Stroke, Transcranial Doppler Ultrasound
- Trial name
- MESOMEGA (NCT07172165)
- Testing
- Expert double-blind evaluation
- Where
- Portugal
- Volunteers
- 850 people
- Sponsor
- Universidade do Porto
Pressure Injury, Wound
Pressure Injury Prediction and Education Model Using a Mobile Application System
Pressure injuries are common in the elderly and patients who reduced physical activities. Its complications significantly impact the health care system and social burden, even causing the death rate to be as high as 68%.
- Trial name
- NCT05357391
- Testing
- The Pressure Injury Prediction and Education model using a mobile application system
- Where
- Taiwan
- Volunteers
- 160 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital Hsin-Chu Branch
Children Born After Assisted Reproductive Technologies, Health Status
Health Status of Children Born After Assisted Reproductive Technologies
The goal of this observational study is to study the features of psychophysical development and the morbidity patterns of children born after assisted pregnancy, and to identify the connection with the health status of mothers…
- Conditions
- Children Born After Assisted Reproductive Technologies, Health Status, Child Development
- Trial name
- NCT06094998
- Testing
- hemogram examination
- Where
- Kazakhstan
- Volunteers
- 252 people, healthy volunteers welcome
- Sponsor
- Kazakhstan's Medical University "KSPH"
COVID-19, Coronavirus
Respiratory Decompensation and Model for the Triage of COVID-19 Patients
The purpose of this study is to prospectively evaluate a machine learning algorithm for the prediction of outcomes in COVID-19 patients.
- Conditions
- COVID-19, Coronavirus, Mortality, Mechanical Ventilation
- Trial name
- READY (NCT04390516)
- Testing
- COViage
- Where
- United States
- Volunteers
- 197 people
- Sponsor
- Dascena
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
Carotid Stenosis
Risk Prediction Model for Cerebrovascular Events in Carotid Artery Stenosis
Atherosclerotic carotid artery stenosis is a major cause of stroke, and early identification of high-risk patients combined with surgical intervention can significantly reduce stroke risk.
- Trial name
- NCT06452173
- Testing
- Plasma, carotid high-resolution magnetic resonance imaging
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Beijing Tiantan Hospital
Development and Validation of a Prediction Model for Refeeding Syndrome in ICU Patients Undergoing Enteral Nutrition
Development and Validation of a Prediction Model for Refeeding Syndrome in ICU Patients Undergoing Enteral Nutrition Patients
This study intends to strengthen the discussion on the risk factors of RFS in critically ill patients, and construct an RFS risk prediction model which is easy for clinical medical staff to use and has a high sensitivity and…
- Trial name
- RFS (NCT04954755)
- Where
- China
- Volunteers
- 553 people
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
Cesarean Section
Development of a Risk Prediction Model for Post-Spinal Anesthesia Hypotension During Cesarean Delivery Using Heart Rate, Blood Pressure, Perfusion Index, ECG Waveforms, and SpO₂ Waveforms
Spinal anesthesia is the preferred anesthetic technique for patients undergoing cesarean section. Compared with general anesthesia, spinal anesthesia offers multiple advantages.
- Trial name
- NCT07689825
- Testing
- Standard clinical spinal anesthesia and routine intraoperative monitoring
- Where
- China
- Volunteers
- 145 people
- Sponsor
- Peking University Shenzhen Hospital
Prostate Cancer Metastatic
AI-based Prediction of Prostate Cancer Metastasis Using Biopsy Pathology
This observational study aims to develop and validate an artificial intelligence-based model using prostate cancer biopsy pathology to predict lymph node metastasis and distant metastasis in patients with prostate cancer.
- Trial name
- NCT07660276
- Testing
- Artificial Intelligence-Based Pathology Analysis
- Where
- China
- Volunteers
- 3,000 people
- Sponsor
- Xiangya Hospital of Central South University
Pancreatogenic Diabetes Mellitus
Prediction of Pancreatogenic Diabetes After Partial Resection of the Pancreas
The primary aim of the study is to identify clinical, laboratory, imaging, and pathohistological risk factors for the development of pancreatogenic diabetes after partial resection of the pancreas (PRP) and, based on these, to…
- Trial name
- NCT07665710
- Where
- Slovenia
- Volunteers
- 150 people
- Sponsor
- University Medical Centre Ljubljana
Artificial Intelligence (AI), Machine Learning
Development and Pre-validation of a Machine Learning-based Prediction Algorithm for Early Functional Recovery in Patients Undergoing Hip and Knee Replacement Surgery
The goal of this observational study is to develop and pre-validate a machine learning algorithm to predict early recovery of mobility in patients undergoing hip or knee joint replacement surgery.
- Conditions
- Artificial Intelligence (AI), Machine Learning, Joint Replacement, Predictive Model
- Trial name
- FISIO_IA (NCT07333560)
- Testing
- Predictive Model for Early Mobility Recovery and Length of Stay
- Where
- 2 sites in Italy
- Volunteers
- 943 people
- Sponsor
- Istituto Ortopedico Rizzoli
Lung Cancer
Standard Follow-up Program (SFP) for Lung Cancer Patients Treated With Radiotherapy or Chemoradiation
Motive: In order to improve the treatment technique, a comprehensive follow-up program is needed to obtain all relevant patient, treatment and toxicity data from lung cancer patients.
- Trial name
- NCT02421718
- Testing
- Radiotherapy
- Where
- Netherlands
- Volunteers
- 10,000 people
- Sponsor
- University Medical Center Groningen
Subarachnoid Haemorrhage (SAH), Delayed Cerebral Ischemia
Metabolomics in Subarachnoid Hemorrhage
The goal of this observational study is to learn whether blood and cerebrospinal fluid markers, combined with clinical, imaging and brain monitoring data, can help predict the outcome of adults with spontaneous subarachnoid…
- Trial name
- NeuroMetas (NCT07865182)
- Testing
- Blood and cerebrospinal fluid sampling
- Where
- Portugal
- Volunteers
- 100 people
- Sponsor
- Unidade Local de Saude Sao Jose
Colorectal Cancer
Developing Risk Prediction Model and Testing the Effect of Dual Task Walking on Improving Cognitive Function in Patients With Colorectal Cancer
The aims of this three-year study are to explore cognitive function under different stages of colorectal cancer (CRC) and its related factors; and understand its disturbance and coping process caused by cancer-induced cognitive…
- Trial name
- NCT04490733
- Testing
- dual-task walking
- Where
- Taiwan
- Volunteers
- 355 people
- Sponsor
- National Taiwan University Hospital