Clinical trials: Predictive Learning Models
Infertility, Male, Azoospermia, Nonobstructive
Machine Learning Based-Personalized Prediction of Sperm Retrieval Success Rate
Non-obstructive azoospermia (NOA) stands as the most severe form of male infertility. However, due to the diverse nature of testis focal spermatogenesis in NOA patients, accurately assessing the sperm retrieval rate (SRR) becomes…
- Trial name
- NCT06358794
- Testing
- Machine learning-based predictive model
- Where
- China
- Volunteers
- 2,612 people
- Sponsor
- Peking University Third Hospital
Renal Transplanted Recipients, Kidney Function
Renal Function Prediction in Living Donor Transplant Using Baseline Data
This study aims to predict early post-transplant kidney function in living donor kidney transplant recipients using baseline characteristics of donors and recipients.
- Trial name
- NCT06728995
- Where
- South Korea
- Volunteers
- 3,500 people
- Sponsor
- Seoul National University Hospital
Gangrenous Cholecystitis
Construction of a Predictive Model of Gangrenous Cholecystitis Based on Machine Learning
Gangrenous cholecystitis is the most common complication of acute cholecystitis. There is no research using machine learning models to construct predictive diagnostic models for gangrenous cholecystitis.
- Trial name
- NCT06399081
- Testing
- Observational
- Where
- China
- Volunteers
- 1,006 people
- Sponsor
- Dalian Medical University
Funcional Status, Return to Work
Machine Learning Model for Predicting Recovery After Critical Illness
This study aims to develop and test an artificial intelligence (AI) model to predict long-term functional status and return to work after critical illness.
- Conditions
- Funcional Status, Return to Work, Predictive Learning Models
- Trial name
- NCT07616388
- Testing
- No interventions were performed.
- Where
- Brazil
- Volunteers
- 2,016 people
- Sponsor
- Hospital de Clinicas de Porto Alegre
Rotator Cuff Tears
Machine Learning Predictive Model for Rotator Cuff Repair Failure
There is little overall evidence behind clinical practice guidelines for diagnosis and treatment of rotator cuff repair. The purpose of this study was to compare the performance of different machine learning models that use…
- Trial name
- NCT06145815
- Testing
- Arthroscopic rotator cuff repair
- Where
- Switzerland
- Volunteers
- 4,789 people
- Sponsor
- La Tour Hospital
Infertility (IVF Patients)
Machine Learning and Pregnancy Success Prediction in Fertility Treatments
Infertility, as defined by the World Health Organization (WHO), is a disorder of the male or female reproductive system characterized by the inability to achieve a clinical pregnancy after 12 months or more of regular…
- Trial name
- MaLIV-PMA (NCT06884930)
- Where
- Italy
- Volunteers
- 5,000 people
- Sponsor
- IRCCS San Raffaele
Sepsis
A Machine Learning Predictive Model for Sepsis
Timely and accurately predicting the occurrence of sepsis and actively intervening in treatment may effectively improve the survival and cure rate of patients with sepsis.
- Trial name
- NCT04771429
- Where
- China
- Volunteers
- 4,500 people, healthy volunteers welcome
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Myopia, Small-incision Lenticule Extraction (SMILE) Surgery
Potential Risk Factors and Predictive Model Construction of OBL During SMILE
To explore the prediction of OBL by deep learning model in SMILE surgery
- Trial name
- NCT06577012
- Testing
- Small incision lenticule extraction
- Where
- China
- Volunteers
- 4,678 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
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
Kidney Transplantation, Delirium - Postoperative
A Predictive Model for Postoperative Delirium in Kidney Transplant Patients
This study aims to develop and prospectively validate a machine learning-based prediction model for postoperative delirium in kidney transplant recipients, using perioperative clinical data.
- Conditions
- Kidney Transplantation, Delirium - Postoperative, Cognitive
- Trial name
- NCT07078578
- Volunteers
- 4,800 people
- Sponsor
- Hua Zheng
Venous Thromboembolism (VTE), Occult Cancer
External Validation of the CLOVER Score for Detecting Occult Cancer in Venous Thromboembolism Patients
This study aims to externally validate the CLOVER score, a machine learning-based predictive model designed to identify patients with venous thromboembolism (VTE) who are at increased risk of having an occult cancer.
- Trial name
- CLOVER (NCT07310693)
- Where
- 12 sites in Spain
- Volunteers
- 500 people
- Sponsor
- Infanta Leonor University Hospital
Gestational Diabetes, Pregnancy Complications
Gestational Diabetes Monitoring and Management
The primary goal is to predict the clinical outcomes of mother and baby using blood glucose and other routinely collected clinical data in pregnancy to predict adverse outcomes at birth in women with GDM.
- Conditions
- Gestational Diabetes, Pregnancy Complications, Pregnancy in Diabetic, Pregnancy, High Risk
- Trial name
- NCT06963528
- Where
- United Kingdom
- Volunteers
- 1,800 people
- Sponsor
- University of Oxford
Inflamatory Bowel Disease
Construction and Validation of a Predictive Model for the Efficacy of Different Biologics in Inflammatory Bowel Disease
Inflammatory bowel disease (IBD) is a group of chronic progressive gastrointestinal diseases that can recur throughout life and for which there is no cure.
- Trial name
- NCT07181525
- Testing
- anti-cytokine antibodies, anti-integrin antibodies
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Peking University First Hospital
Pulmonary Hypertension, Pulmonary Arterial Hypertension
Validation of a Machine Learning Predictive Model to Distinguish Post-capillary Pulmonary Hypertension
In this study the diagnostic accuracy of a diagnostic tool for the diagnosis of post-capillary pulmonary hypertension will be investigated.
- Conditions
- Pulmonary Hypertension, Pulmonary Arterial Hypertension, HFpEF - Heart Failure With Preserved Ejection Fraction
- Trial name
- Optiek 2-0 (NCT06405126)
- Testing
- Optiek predictive model
- Where
- 4 sites in Belgium
- Volunteers
- 100 people
- Sponsor
- KU Leuven
Colorectal Cancer Liver Metastases (CRLM)
AI-Based Prediction of Liver Metastasis in Colorectal Cancer (A Retrospective Study)
This multicenter, retrospective study aims to develop and validate a multimodal deep learning model for predicting the risk of metachronous liver metastasis in patients with stage I-III colorectal cancer following curative…
- Trial name
- NCT07399236
- Testing
- Multimodal Deep Learning Model Analysis
- Where
- China
- Volunteers
- 1,500 people
- Sponsor
- Tongji Hospital
Geriatric Patients, Postoperative Complications
PREDICTING MINS WITH FRAILTY AND BIOMARKERS IN GERIATRIC SURGERY
The primary objective of this study is to develop and validate a machine learning model that integrates preoperative clinical data, biomarkers, and modified frailty indices (mFI-5) to accurately predict myocardial injury after…
- Conditions
- Geriatric Patients, Postoperative Complications, Frailty, Myocardial Ischemia
- Trial name
- NCT07566013
- Testing
- Preoperative Risk Assessment and Machine Learning Modeling
- Where
- Turkey (Türkiye)
- Volunteers
- 600 people
- Sponsor
- DİLEK KALAYCI
Erythrocyte Transfusion, Machine Learning
Machine Learning Versus Traditional Scores in Predicting Erythrocyte Need
In this study, we compared perioperative bleeding prediction scores with our machine learning-based prediction system in predicting the need for erythrocyte suspension during cardiovascular surgery.
- Trial name
- NCT06594484
- Testing
- Ml Based Algorithm 1, Ml Based Algroithm 2, Bleeding Scores
- Where
- Turkey (Türkiye)
- Volunteers
- 430 people
- Sponsor
- Kocaeli City Hospital
Posterior Fossa Tumors, Pediatric Tumor of Brain
Predicting Cognitive Dysfunction After Pediatric Posterior Fossa Tumor Surgery
The goal of this observational study is to develop and validate a clinical prediction model to identify risk factors for long-term cognitive dysfunction in children (ages 0-18 years) who have undergone surgical resection of a…
- Trial name
- NCT07350382
- Testing
- Not applicable- observational study
- Where
- China
- Volunteers
- 600 people
- Sponsor
- West China Hospital
Unruptured Intracranial Aneurysm, Intracranial Aneurysm Rupture
Prospective Observational Cohort Study for Predicting Unruptured Intracranial Aneurysm Rupture Risk Using Blood Pressure Variability and 3D Structural Evolution
This is a single-center, prospective, longitudinal observational cohort study in adults with unruptured intracranial aneurysms (UIAs) who are managed by conservative observation rather than immediate surgery or endovascular…
- Trial name
- NCT07893574
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Beijing Tiantan Hospital
Alpha-1-antitrypsin Deficiency, Emphysema
Development of a Prediction Score for the Occurrence of Death or Lung Transplantation in Patients With Emphysema Secondary to Alpha-1-anti-tripsin Deficiency
Emphysema linked to alpha-1-antitrypsin deficiency (DAAT): towards a better prediction of risks Emphysema caused by alpha-1-antitrypsin deficiency (DAAT) is a rare genetic disorder that can lead to serious complications, such as…
- Conditions
- Alpha-1-antitrypsin Deficiency, Emphysema, Artificial Intelligence (AI), Predictive Learning Models
- Trial name
- FLARE (NCT07715617)
- Where
- 4 sites in France
- Volunteers
- 230 people
- Sponsor
- University Hospital, Bordeaux