Clinical trials
Deep Learning clinical trials
Below are recruiting deep learning clinical trials, each written for real people, not researchers. We’re tracking 82 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT06653478Recruiting
Smarter cancer risk assessment using all your medical info
This study is testing a new way to use medical images, records, and other information to better assess cancer risk and guide treatment. It may be a good fit if you have a suspicious spot in your lungs, stomach, or colon, or if you are healthy and want to help with early cancer detection research.
Wuhan, HubeiAges 18–75 - NCT06211218Recruiting
AI screening for multiple corneal diseases
This study uses artificial intelligence to look at slit-lamp images of your eye to screen for different corneal diseases. It may help find problems early when they are easier to treat.
Tianjin, Tianjin MunicipalityAges Any age - NCT07570680Recruiting
Brain Bleeding Stroke AI Decision Support System
This study tests an artificial intelligence system designed to help doctors make better treatment decisions for patients with sudden brain bleeding. The AI analyzes CT scans and patient information to guide care choices during hospitalization.
NanchangAges 8 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+ - NCT07447999Recruiting
Using AI to predict sleep apnea severity
This trial tests whether a special computer model can predict sleep apnea severity using a stethoscope and a fingertip oxygen sensor, instead of a full sleep test. It might help people get faster and easier sleep apnea diagnosis.
New Taipei CityAges 30–75 - NCT07447973Recruiting
AI eye test for multiple eye diseases
This trial uses artificial intelligence to analyze eye images and help diagnose and prioritize eye conditions. It could help find the right treatment faster.
Guangzhou, GuangdongAges 18 years+ - NCT06810349Recruiting
Using AI to find cancer origin from lymph node biopsy
This study uses computer intelligence (deep learning) to analyze cells from a lymph node biopsy to find where in the body a cancer might have started. It looks at past patient data and images to train a program that could help doctors in the future.
Chengdu, SichuanAges Any age - 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+ - NCT05792267Recruiting
AI system for pancreas scans during endoscopic ultrasound
This trial tests a new computer (deep-learning) system to help analyze pictures from an endoscopic ultrasound scan of the pancreas. It may improve how the scan is done or interpreted, depending on study results.
Changsha, HunanAges 18–80 - 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 - NCT06829147Recruiting
AI to diagnose lymph node spread in nasopharyngeal cancer
This trial tests whether a computer model can accurately detect if cancer has spread to lymph nodes in patients with nasopharyngeal carcinoma. It uses MRI and PET/CT scans taken before treatment to see if the AI can replace or supplement current methods.
Guangzhou, GuangdongAges Any age - NCT07392567Recruiting
AI predicts liver spread in colorectal cancer
This study tests whether an artificial intelligence (AI) model can predict if colon or rectal cancer will spread to the liver. You will have a CT scan before surgery, and the AI will analyze the scan to see if it can forecast future liver metastasis.
Wuhan, HubeiAges 18–75 - NCT06839443Recruiting
AI to detect hydroxychloroquine eye damage
This study uses artificial intelligence to look at eye images of people who have taken hydroxychloroquine for a long time. The goal is to better detect or predict early signs of retinal damage, so you can get the right care sooner.
PortugalAges 18–100 - NCT07373951Enrolling by invitation
Predicting cancer gene status from MRI scans in brain metastasis
This trial uses brain MRI scans and deep learning to predict whether non-small cell lung cancer that has spread to the brain has certain gene changes (EGFR or ALK). Knowing this may help guide treatment without needing additional tissue testing.
Beijing, Beijing MunicipalityAges 18 years+ - NCT06831357Recruiting
Predicting Cancer Spread in Nasopharyngeal Cancer Using AI
This trial uses a deep learning computer model to look at tissue images and MRI scans to predict whether nasopharyngeal carcinoma may spread to other parts of the body. It may help doctors decide on the best treatment for people with certain stages of this cancer.
Guangzhou, GuangdongAges Any age - 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+ - NCT05792280Recruiting
AI-assisted endoscopic ultrasound for chest (mediastinal) imaging
This study tests a new computer (deep-learning) system to help interpret images from an endoscopic ultrasound exam of the chest area. It may help make the scan information more consistent and useful for diagnosis.
Changsha, HunanAges 18–80 - NCT07309107Recruiting
Deep learning study of amyloid pet scans for memory issues
This trial is testing a deep learning tool on amyloid PET scans from patients with memory problems. It aims to improve diagnosis and understanding of Alzheimer's disease.
Vandœuvre-lès-NancyAges 18–99 - 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+ - 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 - NCT07274423Recruiting
Deep learning for clearer ankle MRI scans
This study tests if a new deep learning technology can improve the quality of ankle MRI images. It may help people with ankle injuries get a more accurate diagnosis.
Wuhan, HubeiAges 18 years+ - NCT07236658Recruiting
Using AI to detect arm problems after breast cancer surgery
This trial uses artificial intelligence (a computer program) to help predict arm and shoulder problems that can happen after breast cancer surgery. It aims to find these issues early so they can be treated better.
AnkaraAges 18 years+ - NCT07231627Recruiting
Using AI to improve prostate cancer detection from MRI
This trial tests whether an artificial intelligence (AI) program can help doctors decide when a prostate biopsy is needed. It is for men who have had a prostate MRI that shows either a low-risk (PIRADS 1-2) or uncertain (PIRADS 3) spot, along with a higher-than-normal PSA level. You may qualify if you have certain risk factors like a high PSA density, suspicious digital rectal exam, or family history of prostate cancer.
Little Rock, ArkansasAges 40 years+ - NCT06420440RecruitingPhase 2
Pre-surgery treatment for liver cancer at high risk of return
This study tests a treatment given before surgery for liver cancer that is at high risk of coming back. You would receive a combination of chemotherapy directly into the liver artery (HAIC), a targeted pill (lenvatinib), and an immunotherapy drug (a PD-1 inhibitor) — if a computer model predicts you might benefit.
Xiangyang, HubeiAges 18–75
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Common questions
- Are there clinical trials for deep learning?
- Yes. Clin2 currently lists 82 recruiting deep learning 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 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 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.