Clinical trials
Deep Learning Model clinical trials
Below are recruiting deep learning model clinical trials, each written for real people, not researchers. We’re tracking 31 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06118840Recruiting
AI tool for spotting brain aneurysms on CT scans
This trial tests if an AI model can help doctors detect brain aneurysms more accurately on head CT angiograms (CTA). It may lead to earlier treatment and better outcomes.
Hefei, AnhuiAges 18 years+ - NCT07739628Enrolling by invitation
Testing a computer tool for osteoporosis screening from CT scans
This study checks if a new computer program can find people at risk for osteoporosis more easily, using CT scans you already had. If you are found to be high risk, you'll get a free bone density test (DXA) to confirm, and help improve this tool.
Wuhan, HubeiAges 18 years+ - NCT07532928Enrolling by invitation
Personalized Post-Surgery Care Plan for Advanced Head and Neck Cancer
This study helps doctors create a personalized plan for follow-up treatment after surgery for advanced head and neck cancer. Researchers will use imaging scans and patient data to predict which patients need extra treatment and which ones can be monitored closely instead.
GuangzhouAges 18 years+ - NCT07417800Recruiting
Predicting liver cancer treatment after surgery
This study uses digital scans of your tumor tissue and CT/MRI images to build a computer model that helps predict whether you might need extra treatment (adjuvant therapy) after liver cancer surgery. The goal is to use your own tissue and scan data to personalize follow-up care.
Hangzhou, ZhejiangAges 18 years+ - NCT07124754Recruiting
Predicting lymph node spread in early stomach cancer
This study tests if artificial intelligence can predict whether early-stage stomach cancer has spread to lymph nodes. It also evaluates how well doctors assess the cancer. If the technology works, it could help guide treatment decisions.
Shijiazhuang, None SelectedAges 18 years+ - NCT07282184RecruitingPhase 1/Phase 2
Liver cancer risk prediction and treatment study
This trial uses a computer model to predict if your liver cancer might come back aggressively after surgery. If you are at high risk, you may receive additional treatment before surgery to lower that risk.
Wuhan, HubeiAges 18–75 - NCT07308704Recruiting
Using AI to spot heart muscle disease on echocardiograms
This study at Mayo Clinic is testing an artificial intelligence (AI) tool that analyzes echocardiograms (ultrasound of the heart) to find early signs of four types of heart muscle disease. If the AI flags a high-risk pattern, doctors can learn whether acting on that alert helps catch the condition sooner.
Rochester, MinnesotaAges 18 years+
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Common questions
- Are there clinical trials for deep learning model?
- Yes. Clin2 currently lists 31 recruiting deep learning 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 deep learning 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 deep learning 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.