Clinical trials
Predictive Model clinical trials
Below are recruiting predictive model clinical trials, each written for real people, not researchers. We’re tracking 172 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07183891Recruiting
Testing AI to analyze eye surgery results
This trial tests whether large language models can accurately analyze eye surgery data and predict how well patients see after surgery. It focuses on patients who had good vision and stable lens implants one month after cataract surgery.
Shanghai, Shanghai MunicipalityAges 18 years+ - NCT06387004Recruiting
Predicting swallowing problems during head and neck radiation
This study uses ultrasound scans to predict which patients will develop swallowing problems during radiation therapy for head and neck cancer. The goal is to catch and manage swallowing difficulties early.
Férolles-AttillyAges 18 years+ - NCT06842420Enrolling by invitation
Predicting return to work after stroke rehab
This study looks at what helps people return to work after a stroke. Researchers will review data from patients who had rehab at Changi General Hospital to find patterns that predict a successful return to work.
Singapore, SingaporeAges 21 years+ - NCT06766422Recruiting
AI tool to better detect and predict brain aneurysm risk
This study uses artificial intelligence to help doctors better see and understand brain aneurysms from MRI or CT scans. It aims to improve how accurately aneurysms are found and whether they are stable or at risk of rupturing.
ShanghaiAges 18 years+ - NCT06828575Recruiting
Testing AI models on artery pressure readings
This study tests how well artificial intelligence can analyze artery pressure waveforms during surgery. If you're having scheduled surgery and already need this monitoring, your data might help improve patient care.
IstanbulAges 18 years+ - NCT06714747Recruiting
Soft tissue prediction for jaw surgery
This trial tests a new way to predict how facial soft tissues will change after jaw surgery using advanced imaging. It may help people needing orthognathic surgery to understand the likely aesthetic outcome.
Bologna, Emilia-RomagnaAges 18 years+ - NCT06451393Recruiting
AI predicts stomach cancer response to chemo
This trial tests a computer-based model that uses CT scans, endoscopic images, and biopsy tissue to predict how well stomach cancer will respond to chemotherapy given before surgery. The goal is to help doctors choose the best treatment for each patient.
Guangzhou, GuangdongAges 20–90 - NCT06523374Recruiting
Studying quality of life and cancer risk in Barrett's esophagus
This study looks at how Barrett's esophagus affects your quality of life and fear of cancer. It uses new tests to better predict who might develop esophageal cancer, so you can get the right care sooner.
Edegem, AntwerpenAges 18 years+ - NCT07349901Recruiting
Predicting hospital readmission after surgery using smart devices
This trial uses a smartwatch and smart ring to collect health data after elective surgery. The goal is to see if these sensors can help predict who might need to return to the hospital, so doctors can provide better follow-up care.
Manaus, AmazonasAges 18 years+ - NCT06380049Recruiting
Predicting fall risk after stroke with sensors and AI
This study uses special sensors and machine learning to predict fall risk in people who recently had a stroke. It aims to help you and your care team take steps to prevent falls.
Seoul, JongnoAges 19 years+ - NCT06702800Recruiting
Using tumor models to predict breast cancer drug response
This study uses a personal lab-grown model of your tumor (called an organoid) to help predict which drugs are most likely to work for your specific breast cancer. It is open to both early-stage and advanced breast cancer patients who are about to start or are already receiving treatment.
Changsha, HunanAges 18–70 - NCT06791421Recruiting
Using AI to Predict Genes from Health Records
This study is testing an AI tool that uses your health records—like medical history, lab tests, and scans—to predict your genetic information. You may be eligible if you have complete health records and agree to let researchers use your data for this prediction analysis.
Guangzhou, GuangdongAges Any age - NCT06791473Recruiting
AI cancer diagnosis study using electronic health records
This study uses artificial intelligence to analyze electronic health records (including medical history, lab results, and imaging data) to improve cancer diagnosis and prediction. It aims to help identify cancer earlier and more accurately, potentially leading to better treatment outcomes.
Guangzhou, GuangdongAges birth–90 years - NCT06427265Recruiting
Recovery after ICU: a long-term study
This study follows people after they leave the ICU to see how they recover over time. It uses computer programs to find patterns and create early warning tools to help doctors spot problems sooner.
Guiyang, GuizhouAges 18–100 - NCT07098884Recruiting
Using smartphone photos and AI to diagnose lung nodules
This trial uses photos of lung nodule tissue taken with a smartphone and analyzes them with artificial intelligence to improve diagnosis and predict outcomes. It may help people who are scheduled for lung surgery based on CT scans.
Hefei, AnhuiAges 20–75 - NCT05795842Recruiting
Detecting atrial fibrillation after stroke using a wrist monitor
This study checks whether a special wrist device can detect an irregular heartbeat (atrial fibrillation) in people who recently had a stroke with an unclear cause. It may help doctors find the cause earlier and tailor follow-up care.
Atlanta, GeorgiaAges 55 years+ - NCT05866575Recruiting
Brain-modeling trial to predict depression treatment response
This trial uses computer modeling based on brain measurements to try to predict which depression treatment will work for you. It may help match you with the most effective option faster by understanding your motivation-related brain patterns.
La Tronche, IsèreAges 18 years+ - NCT06773832Recruiting
AI to help doctors find polyps during colonoscopy
This trial uses artificial intelligence to help doctors better identify and classify polyps during a routine colonoscopy. It may lead to more accurate detection and fewer missed abnormalities.
BeijingAges 18 years+ - NCT06802003Recruiting
Predicting COPD flare-ups with wearable devices
This study tests whether a wearable device and a smartphone app can predict when your COPD will flare up. It uses AI to spot early warning signs, so you might get help sooner.
Montreal, QuebecAges 40 years+ - NCT06791382Recruiting
AI infection risk study for hospital patients
This study uses an artificial intelligence system to analyze electronic health records and predict which hospital patients might develop an infection. If you join, your health data will be used to train the AI, which could help prevent infections in the future.
Wenzhou, ZhejiangAges birth–90 years - NCT06496555Recruiting
Predicting kidney injury in ICU patients
This study tests a tool called U-AKIpredTM to see if it can predict whether a critically ill patient will develop acute kidney injury within the first 12 hours in the ICU. If you are in the ICU and have not had kidney problems before, this trial may help improve your care.
Hangzhou, ZhejiangAges 18 years+ - NCT07399236Recruiting
AI prediction of liver spread in colorectal cancer
This study looks at whether an AI tool can predict if colorectal cancer will spread to the liver. The researchers will review past medical records of patients who had surgery to remove their cancer and had no signs of spread at that time.
Wuhan, HubeiAges 18–75 - NCT05404321Recruiting
Collecting tumor samples to study triple-negative breast cancer treatments
This study collects tumor tissue from people with early-stage triple-negative breast cancer before they start neoadjuvant chemotherapy. The goal is to help researchers test new therapies and look for markers that may predict who benefits.
CaenAges 18 years+ - NCT06791343Recruiting
Early diagnosis of pregnancy and newborn health issues
This study looks at health data from pregnant women to find patterns that could help predict and catch health problems in mothers and babies early. It might offer better monitoring and care during and after pregnancy.
Guangzhou, GuangdongAges 18–45
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Common questions
- Are there clinical trials for predictive model?
- Yes. Clin2 currently lists 172 recruiting predictive model studies from the U.S. registry, each rewritten for real people, not researchers, so you can see what it’s testing and who it’s for.
- How do I know if I qualify for a predictive model trial?
- Each study lists its eligibility criteria — rules about age, diagnosis, and prior treatments. On every Clin2 trial page we explain these in words written for real people and offer a short, optional pre-screen for a fit read. The study team makes the final decision.
- Does it cost anything to join a predictive model trial?
- Using Clin2 is always free. Many trials cover the cost of the study treatment and related visits; some reimburse travel. The study team explains exactly what’s covered before you decide.
Related conditions
Clin2 helps you find and understand clinical trials and does not provide medical advice. Study data comes from ClinicalTrials.gov. Talk with your doctor about whether a specific trial is right for you.