Clinical trials: Prediction Model
Brain (Nervous System) Cancers, Brain Arterial Disease
A Vision-Language Foundation Model for Brain Disease Diagnosis From Multimodal Data
The goal of this observational study is to develop an innovative, comprehensive, and explainable AI vision-language foundation model (VLM) to advance the diagnosis and interpretation of brain diseases using multi-modal data.
- Conditions
- Brain (Nervous System) Cancers, Brain Arterial Disease, Neuro-Degenerative Disease, Brain Tumors
- Trial name
- NCT07126821
- Testing
- No Interventions
- Where
- China
- Volunteers
- 100,000 people, healthy volunteers welcome
- Sponsor
- Xiangya Hospital of Central South University
Severe Autoimmune Encephalitis
Risk Prediction Model for Severe Autoimmune Encephalitis
A prospective study aims to establish a multicenter clinical diagnosis and treatment database for patients with autoimmune encephalitis (AE).
- Trial name
- NCT06697678
- Testing
- No Intervention: Observational Cohort
- Volunteers
- 1,000 people
- Sponsor
- Xuanwu Hospital, Beijing
Non-ischemic Cardiomyopathy
Non-ischemic Cardiomyopathy Registry, Biobank and Imaging Data Repository
The main goal of CaNICM is to create a central database that includes a biobank and an imaging data repository for patients with non-ischemic cardiomyopathy (NICM), as well as for at-risk family members.
- Trial name
- CaNICM (NCT07110818)
- Where
- Canada
- Volunteers
- 2,000 people
- Sponsor
- Montreal Heart Institute
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
ECMO
To Construct a Prognosis Prediction Model for ECMO Patients Based on Machine Learning Algorithms
Extracorporeal membrane oxygenation (ECMO) is a critical life-support technique for patients with severe medical conditions. Various factors affect the mortality rates of patients in intensive care units, presenting a significant…
- Trial name
- NCT06654388
- Where
- China
- Volunteers
- 290 people
- Sponsor
- Zhujiang Hospital
Metastatic Hormone-Sensitive Prostate Cancer, Prostate Cancer
PSMA PET/CT-Based Multimodal Model for Predicting Response to First-Line Therapy in mHSPC.
This multicenter retrospective study developed and validated a prediction model based on PSMA PET/CT and routine clinical information to estimate early treatment response in patients with metastatic hormone-sensitive prostate…
- Trial name
- NCT07428642
- Testing
- Androgen Deprivation Therapy, Apalutamide, Enzalutamide
- Where
- China
- Volunteers
- 168 people
- Sponsor
- First Affiliated Hospital of Wenzhou Medical University
Bacteremia, Sepsis Bacterial
Prospective Validation of GRADY: A Machine Learning Model for Early Sepsis and Bacteremia Detection in ICU Patients
This study aims to prospectively validate the GRADY prediction models, which use machine learning algorithms to estimate the risk of gram-negative bacteremia and sepsis in intensive care unit (ICU) patients based on routinely…
- Trial name
- NCT07126106
- Where
- Turkey (Türkiye)
- Volunteers
- 55 people
- Sponsor
- Sisli Hamidiye Etfal Training and Research Hospital