Clinical trials
Radiomics clinical trials
Below are recruiting radiomics clinical trials, each written for real people, not researchers. We’re tracking 44 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06389019Recruiting
Using AI to predict bladder cancer outcomes from scans and tissue
This study uses a computer program to analyze your CT scans and tumor tissue slides to better predict how your bladder cancer will behave. It may help doctors give you more personalized care.
Chongqing, Chongqing MunicipalityAges Any age - NCT06436716Recruiting
AI Model for Traumatic Neck Spinal Cord Injury
This study uses artificial intelligence and MRI scans to predict outcomes in people with a traumatic cervical spinal cord injury. The AI model combines imaging data with genetic information to help doctors make better treatment decisions.
Nantong, JiangsuAges Any age - NCT06452550Recruiting
Can brain scans predict Crohn's disease progression?
This study uses brain MRI and psychological questionnaires alongside standard Crohn's tests to see if certain brain patterns predict how the disease will progress over six months or more.
ShanghaiAges 18–45 - NCT06444269RecruitingPhase 2
Precision radiation before surgery for early hormone-positive breast cancer
This trial tests a focused radiation treatment before surgery for early-stage breast cancer that is hormone receptor positive and HER2 negative. The goal is to give precise radiation only to the tumor, with the hope of reducing side effects and improving outcomes.
Dallas, TexasAges 18 years+ - NCT07683195Enrolling by invitation
Using CT scans to predict early stomach cancer return
This study uses information from CT scans done before stomach cancer surgery to see if it can predict whether the cancer may come back early. Researchers want to find patterns in the scans that might help doctors plan better follow-up care.
Jinan, ShandongAges 18–85 - NCT06774729Recruiting
Predicting tumor spread using MRI in sarcoma or bone cancer
This trial uses MRI scans to create a model that may predict if a musculoskeletal tumor is spreading. It aims to help doctors decide on the best surgical treatment.
BolognaAges 18 years+ - NCT06774781Recruiting
Using MRI to find prostate tumors
This study uses advanced MRI scans to better identify prostate cancer lesions before biopsy or surgery. It may help men who already have suspicious MRI findings and are scheduled for a prostate biopsy or removal.
BolognaAges 18 years+ - NCT06805019Recruiting
Using CT scans to tell apart uterine sarcoma from fibroids
This study uses AI to look at CT scans from women with uterine sarcomas or fibroids to see if it can tell the difference between the two. The goal is to help doctors make a faster, more accurate diagnosis without needing surgery.
Bologna, BolognaAges 18–80 - NCT06817174Recruiting
CT scan analysis for ovarian cancer treatment planning
This study uses advanced computer analysis of CT scans to help doctors plan the best treatment for advanced ovarian cancer. It is designed for patients who are about to start active treatment, such as surgery or chemotherapy.
LondonAges 18 years+ - NCT06886282Recruiting
How colon cancer and kidney disease are linked: a imaging and gene study
This trial uses advanced imaging and genetic tests to understand how colon cancer and chronic kidney disease may be connected. It may help decide the best treatment for people with both conditions.
NaplesAges 18 years+ - NCT06906705Recruiting
Ultrasound to Check Lymph Nodes During Gynecological Cancer Surgery
This study uses a special ultrasound probe during surgery to check lymph nodes for cancer. It aims to see if this tool can help doctors make better decisions during your gynecological cancer surgery without needing extra tests.
RomaAges 18–99 - NCT07050576Recruiting
Lymph node spread in early esophageal cancer
This trial looks at how early-stage esophageal cancer spreads to lymph nodes. It uses CT scans and pathology reports to understand patterns, which may help guide future treatment decisions.
Hefei, AnhuiAges Any age - NCT07059936Recruiting
AI and scans to predict immunotherapy response in liver cancer
This study uses artificial intelligence (AI) to analyze your CT or MRI scans and help predict how well immunotherapy might work for your liver cancer. The goal is to find better ways to match you with the right treatment and improve your outcomes.
Wuhan, HubeiAges 18 years+ - NCT07059923Recruiting
Predicting immunotherapy response in lung cancer with AI and radiology
This study uses artificial intelligence and CT scan analysis to predict how well lung cancer patients will respond to immunotherapy. It may help doctors choose the best treatment for you.
Wuhan, HubeiAges 18 years+ - NCT07118813Recruiting
AI predicts kidney cancer surgery outcomes
This trial uses artificial intelligence to read CT scans and predict how well kidney cancer patients will do after surgery. It aims to help doctors plan better treatment for you.
Wuhan, HubeiAges 18 years+ - NCT07305727Recruiting
Can MRI scans help predict chemo-radiation success in cervical cancer?
This trial uses MRI scans taken before treatment to see if they can predict how well chemo-radiation will work for locally advanced cervical cancer. It aims to help doctors know which patients might benefit most from this therapy.
Nîmes, GardAges 18 years+ - NCT01042548Recruiting
Testing blood and tissue markers in breast surgery patients
This study looks at proteins and imaging patterns (from tissue, fluid near the tumor, and blood) to better understand breast cancer markers. It may help researchers find clues that doctors can use to evaluate breast nodules and newly diagnosed invasive breast cancer.
Pittsburgh, PennsylvaniaAges 18 years+ - NCT07129005Enrolling by invitation
MRI-based tool to tell uterine sarcoma from fibroids
This trial uses MRI scans to see if a computer can tell the difference between uterine sarcoma (a rare cancer) and fibroids (non-cancerous growths). If you've already been diagnosed with one of these and had an MRI before surgery, you may be able to help.
Wuhan, HubeiAges 18 years+ - NCT07107815Enrolling by invitation
Predicting rectal cancer treatment response using MRI
This study uses advanced MRI scanning and computer analysis to predict how well rectal cancer might respond to treatments given before surgery. It may help doctors choose the best approach for you.
Beijing, Beijing MunicipalityAges Any age - NCT07103863Enrolling by invitation
Imaging test for predicting AL cardiac amyloidosis outcomes
This study uses two types of imaging (PET/CT and MRI) to see if they can better predict outcomes for people with AL cardiac amyloidosis. The goal is to improve how doctors understand and manage the disease.
Beijing, Beijing MunicipalityAges Any age
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Common questions
- Are there clinical trials for radiomics?
- Yes. Clin2 currently lists 44 recruiting radiomics 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 radiomics 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 radiomics 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.