Clinical trials: Prediction Model
Aneurysm Abdominal, Peripheral Arterial Disease
Developing Trustworthy Artificial Intelligence (AI)-Driven Tools to Predict Vascular Disease Risk and Progression
The VASCULAID-RETRO study, within the broader VASCULAID project, aims to create artificial intelligence (AI) algorithms that can predict cardiovascular events and the progression of abdominal aortic aneurysm (AAA) and peripheral…
- Trial name
- VASCULAIDRETRO (NCT06206369)
- Testing
- No intervention, retrospective study
- Where
- 6 sites in Finland, Germany and 4 more
- Volunteers
- 11,000 people
- Sponsor
- Amsterdam UMC, location VUmc
Type 1 Diabetes Mellitus
Feasibility Evaluation of an Artificial Pancreas With Glucose Prediction Trust Index
The purpose of this pilot study is to establish that closed-loop insulin delivery with a target enchanted model predictive control (eMPC)/Health Monitoring System (HMS) algorithms with a trust index of the predicted glucose value…
- Trial name
- NCT03092310
- Testing
- Artificial Pancreas Device
- Where
- United States
- Volunteers
- 15 people
- Sponsor
- Sansum Diabetes Research Institute
Metabolic Dysfunction Associated Steatotic Liver Disease, Metabolic Dysfunction-associated Steatohepatitis (MASH)
Clinical Classification of MAFLD Based Liver Biopsy
Metabolic dysfunction-associated Fatty Liver Disease (MAFLD), also known as Non-Alcoholic Fatty Liver Disease (NAFLD), is the most common chronic progressive liver disease in China.
- Trial name
- NCT06795646
- Where
- 6 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Beijing Friendship Hospital
Gastric Cancer, Gastritis, Atrophic
Gastric Cancer Screening Quality Improvement System Establishment
Experienced endoscopists will perform endoscopy during the study period and the detection rate of gastric premalignant lesion, correlation between endoscopic and serologic diagnosis of premalignant lesions and inter-observer…
- Conditions
- Gastric Cancer, Gastritis, Atrophic, Intestinal Metaplasia
- Trial name
- NCT02457624
- Testing
- Education and feedback
- Where
- South Korea
- Volunteers
- 17 people, healthy volunteers welcome
- Sponsor
- Seoul National University Hospital
VHL Syndrome, Renal Cell Carcinoma
Establishment of a Multidimensional Prediction Model for the Natural Course of VHL Disease-related Renal Cell Carcinoma
VHL syndrome is a rare hereditary tumor syndrome caused by mutation of tumor suppressor gene VHL. One of the most important clinical manifestations and main cause of death is VHL-related renal cell carcinoma (RCC).
- Trial name
- NCT06391879
- Testing
- Single cell sequencing, whole genome and metabolomic sequencing
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Peking University First Hospital
Sudden Cardiac Death, Myocardial Infarction
Digital MEDIcal TWIN for the Prediction of Arrhythmic Sudden Cardiac Death After a Myocardial Infarction
TWIN-SCD STEMI is a multicentric prospective, non-randomized pilot study designed to establish a multiparametric model for predicting life-threatening ventricular arrhythmias in patients experiencing their first myocardial…
- Trial name
- TWIN-SCD STEMI (NCT07527494)
- Testing
- Programmed ventricular stimulation, Cardiac CT scan
- Where
- France
- Volunteers
- 1,000 people
- Sponsor
- University Hospital, Bordeaux
Anastomotic Leak, Anastomotic Leak Large Intestine
A1Check: the External Validation of a Machine Learning Model Predicting Colorectal Anastomotic Leakage
Anastomotic leakage is a severe complication that can arise following a colorectal resection. It impairs both the short- and long-term outcomes, and negatively influences cancer recurrence rates.
- Conditions
- Anastomotic Leak, Anastomotic Leak Large Intestine, Anastomotic Complication, Anastomotic Leak Rectum
- Trial name
- A1Check (NCT05810207)
- Testing
- Colorectal resection
- Where
- 8 sites in Netherlands
- Volunteers
- 1,000 people
- Sponsor
- Freek Daams
Biliary Infection, Antibiotic Resistant Strain
Predictive Factors Associated to Bile Cultures and Antibiogram Resistance in Patients with Laparoscopic Cholecystectomy
The BACILO study was designed with the objective of having robust data on local epidemiological bacterial colonisation information on bile cultures with patients taken to laparoscopic cholecystectomy in our institution to find…
- Trial name
- BACILO (NCT06314399)
- Testing
- Bile culture and phenotypic antibiogram resistance test
- Where
- 2 sites in Colombia
- Volunteers
- 703 people
- Sponsor
- Hospital Universitario Mayor Méderi
Survivorship
Development and Validation of a Survival Prediction Model for Esophageal Cancer Patients After Esophagectomy
In this retrospective study, we analyzed data from the Sichuan Cancer Hospital \& Institute Esophageal Cancer Case Management Database (SCH-ECCM Database) from January 2010 to December 2017.
- Trial name
- OSmodel (NCT06169930)
- Testing
- This was an observational study without any intervention
- Where
- China
- Volunteers
- 2,957 people
- Sponsor
- Yongtao Han
Ischemic Stroke, Upper Limb Motor Impairment
Neurophysiological Markers for Prediction of Rehabilitation Outcomes After Ischemic Stroke
The goal of this randomized controlled study is to develop and validate an integrated neurophysiological model for predicting rehabilitation potential in patients with ischemic stroke.
- Trial name
- NCT07520630
- Testing
- Intermittent Theta Burst Stimulation
- Where
- Russia
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Moscow Scientific and Practical Center of Medical Rehabilitation, Restorative and Sports Medicine
Breast Cancer
Predictive Model of Axillary Nodal Status After Neoadjuvant Chemotherapy in Breast Cancer Patients
The management of patients diagnosed with breast cancer (BC) with axillary nodal involvement is still a controversial topic. These patients' treatment usually involves the administration of a neoadjuvant chemotherapy (NAC) in…
- Trial name
- LNNEO (NCT05798806)
- Where
- Italy
- Volunteers
- 1,950 people
- Sponsor
- Istituti Clinici Scientifici Maugeri SpA
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
Bronchopulmonary Dysplasia
Early Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Clinical Data
Early Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Clinical Data from the First Three Postnatal Weeks with Large Language Models: A Retrospective Study This retrospective, observational study aims to evaluate…
- Trial name
- NCT07525167
- Testing
- Artificial Intelligence-Based Risk Prediction
- Where
- Turkey (Türkiye)
- Volunteers
- 108 people
- Sponsor
- Konya City Hospital
Acute Myocardial Infarction
Risk Prediction Model of MACE in Patients With AMI Based on Multi-modal Machine Learning
A prospective, multicenter, observational study is adopted, with Jiangsu Provincial People's Hospital as the leading unit, and the other 13 Hospitals as cooperative units.
- Trial name
- NCT06767852
- Where
- China
- Volunteers
- 655 people
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University
In-Hospital Cardiac Arrest
Derivation of An In-Hospital Cardiac Arrest Prediction Model for Patients in Intensive Care Unit
Current studies have shown that hospitalized ICU patients have a high risk of IHCA, with an incidence of about 0.6-7.8%. Early prediction of the occurrence of IHCA in severe patients can provide early intervention, prevent the…
- Trial name
- NCT04670458
- Testing
- no intervention
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Qilu Hospital of Shandong University
Breast Cancer Screening
Establishment and Clinical Application of Breast Cancer Risk Prediction Model Based on Traditional Chinese Medicine Four Diagnostic Instruments and Ultrasound
Construct a breast cancer risk prediction model based on traditional Chinese medicine four diagnostic instruments and B-ultrasound images.
- Trial name
- NCT06902935
- Testing
- Diagnosis of Breast Cancer by Traditional Chinese Medicine Four Examinations, Ultrasound diagnosis of breast cancer
- Where
- China
- Volunteers
- 1,500 people
- Sponsor
- Taizhou Hospital
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
Renal Cell Carcinoma, Kidney Neoplasms
Multimodal Prediction of Postoperative Prognosis After Partial Nephrectomy for Endophytic Renal Cell Carcinoma
This retrospective observational cohort study aims to develop and externally validate an imaging-clinical multimodal fusion model for predicting postoperative prognosis in patients with endophytic renal cell carcinoma undergoing…
- Conditions
- Renal Cell Carcinoma, Kidney Neoplasms, Endophytic Renal Tumor, Postoperative Renal Function
- Trial name
- PN-ProMM (NCT07697417)
- Testing
- Imaging-clinical multimodal prognostic modeling
- Where
- China
- Volunteers
- 406 people
- Sponsor
- Tianjin Medical University Second Hospital
Postoperative Nausea and Vomiting
A Machine Learning Prediction Model for Delayed CIPONV
Postoperative nausea and vomiting (PONV) can lead to serious postoperative complications, but most symptoms are mild. Clinically important PONV (CIPONV) refers to PONV symptoms that have a significant impact on the patient's…
- Trial name
- NCT06443697
- Testing
- No intervention
- Where
- China
- Volunteers
- 1,154 people
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
Prediction of High-risk Populations for Sarcopenia
Evaluation of a Sarcopenia Prediction Model and Development and Effectiveness of a Nursing Guidance Mobile App
We evaluated a model for the prediction of high-risk populations for sarcopenia in home settings, developed a sarcopenia nursing guidance mobile application, and assessed the effectiveness of this application in influencing…
- Trial name
- NCT05363033
- Testing
- sarcopenia nursing guidance mobile application was developed
- Where
- Taiwan
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- National Taipei University of Nursing and Health Sciences