Clinical trials
Deep Learning clinical trials
Below are recruiting deep learning clinical trials, each written for real people, not researchers. We’re tracking 87 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07051083Recruiting
Bladder cancer staging trial using AI on imaging scans
This trial uses artificial intelligence to look at ultrasound and other scans to better stage bladder cancer and predict if chemotherapy before surgery might work. It may help doctors plan your treatment more precisely.
Guangzhou, GuangdongAges Any age - 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 - NCT06477458Recruiting
AI analysis of CT scans for lung health before chest surgery
This study uses a computer program (deep learning) to analyze your chest CT scan and lung function test results before surgery. The goal is to see if the AI can help doctors better assess your lungs and plan your operation.
Guangzhou, GuangdongAges 18–75 - NCT07181512Recruiting
AI screening for coronary artery disease on chest CT
This trial uses artificial intelligence (AI) to look at chest CT scans for signs of coronary artery disease. It may help find blockages without needing a separate heart-specific CT scan.
Hangzhou, ZhejiangAges 18 years+ - NCT06619002Recruiting
Using video to make uterine cancer surgery safer
This study is collecting videos from a type of minimally invasive surgery called sentinel lymph node dissection for endometrial or cervical cancer. The goal is to use deep learning (a type of artificial intelligence) to help surgeons identify important structures and any spread of cancer during the procedure, making the surgery safer and more effective.
RomaAges 18–99 - NCT06092450Recruiting
Using AI scans to predict bladder cancer treatment results
This trial uses an artificial intelligence model to analyze CT scans taken before bladder removal surgery. The goal is to see if the AI can predict outcomes for patients with muscle-invasive bladder cancer.
Chongqing, Chongqing MunicipalityAges Any age - NCT06910956Recruiting
Finding high-risk patients for lung cancer screening using chest X-rays
This trial uses artificial intelligence to analyze chest X-rays and identify people who may be at high risk for lung cancer and could benefit from a CT screening scan. It's designed for current or former smokers aged 50 to 77 who have had a recent chest X-ray and are not already being checked for lung cancer.
Boston, MassachusettsAges 50–77 - NCT07088354Recruiting
AI model predicts treatment response in esophageal cancer
This trial tests whether an artificial intelligence (AI) model can accurately predict if esophageal cancer will completely disappear after chemotherapy combined with immunotherapy before surgery. If successful, it could help doctors decide the best treatment plan for patients.
Wuhan, HubeiAges 18 years+ - NCT07166445Recruiting
Using AI to read kidney cancer CT scans for better staging
This study uses a computer program (deep learning) to look at your kidney CT scan and tell if your cancer is more advanced (stage T3) or earlier (stage T1-T2). The goal is to help doctors plan the best treatment for you.
BeijingAges 18–85 - NCT06822413Recruiting
Using light and AI to find cancer early
This trial uses a special light-based test and artificial intelligence to detect several types of cancer early. It aims to see if this method can accurately identify cancer or precancerous changes before any treatment starts.
Nanchang, JiangxiAges Any age - NCT06864702Enrolling by invitation
AI tool to analyze medical images for liver surgery patients
This trial is testing a computer program that can automatically analyze medical images like CT scans from people who have had laparoscopic liver, gallbladder, or pancreas surgery. The goal is to see if the AI can help doctors better plan and perform these surgeries.
Guangzhou, GuangdongAges 18–85 - NCT07061821Recruiting
Faster heart MRI with AI for left ventricular hypertrophy
This study tests a faster cardiac MRI scan that uses artificial intelligence to speed up the imaging process. It is for patients who need a heart MRI to check or follow up on left ventricular hypertrophy (thickening of the heart muscle).
AmiensAges 18 years+ - NCT07111364Recruiting
Ultrasound with AI to diagnose bladder tumors
This study uses ultrasound with AI to better diagnose bladder masses. It's for people who have a suspicious finding on a bladder ultrasound and are already planning to have surgery to treat it.
BeijingAges 18–85 - NCT06972043Recruiting
AI helper robot for nurses and patients
This trial tests a smart robot that helps nurses and patients with care tasks that don't involve safety. It aims to see if the robot can make care easier and more efficient.
Taipei, TaiwanAges 18 years+ - NCT05479617Recruiting
Predicting ulcerative colitis flare course using personal data
This study tries to better predict how an ulcerative colitis flare will progress by using a mix of your medical information. If you are eligible, your flare details may help researchers build tools that guide future care.
Hvidovre, DenmarkAges 18 years+ - NCT05614193Recruiting
Deep imaging study for suspected stroke patients
This trial studies an advanced way to analyze CT or MRI scans for people who may have had a stroke or reduced blood flow to the brain. It aims to improve how scans are interpreted and shared for better care.
Beijing, Beijing MunicipalityAges 18–100 - NCT06957587Recruiting
Using Ultrasound and AI to Measure Blood Volume
This study tests if an artificial intelligence (AI) program can accurately measure how much blood you have in your body using ultrasound pictures. It may help doctors better manage fluids during surgery or illness.
Shanghai, Shanghai MunicipalityAges 18–75 - NCT07775365Recruiting
AI predicts gum coverage from photos
This study uses an artificial intelligence (AI) system to look at close-up photos of your gums and predict how well a gum graft procedure might work to cover receded gums. It aims to help doctors plan your treatment more accurately.
Istanbul, IstanbulAges 18–65 - 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+ - NCT06851429Recruiting
Ovarian cancer detection on CT scans using artificial intelligence
This trial tests a computer program (artificial intelligence) that looks at CT scans of the pelvis to help find ovarian cancer. If it works, it could help doctors diagnose this cancer earlier and more accurately.
Taoyuan City, Guishan DistrictAges 20 years+ - NCT06546592Recruiting
AI tool for better breast radiation planning
This trial tests whether an artificial intelligence (AI) tool can help doctors plan radiation therapy more precisely for breast cancer. It aims to make treatment safer and more effective by using AI to outline the area to be treated.
Dubbo, New South WalesAges 18 years+ - NCT06285084Recruiting
Deep learning ECG test for sports eligibility
This trial uses a deep learning computer program to analyze your heart's electrical activity (ECG) during a routine check-up. It aims to help doctors decide if it's safe for you to play competitive sports.
Milan, LombardyAges 18–60 - NCT06534645Recruiting
STOP-stroke: Predicting recovery after a stroke
This study collects health data from people with a suspected stroke to improve predictions of recovery. Your participation helps researchers better understand how to treat strokes in the future.
ZurichAges Any age - 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+
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Common questions
- Are there clinical trials for deep learning?
- Yes. Clin2 currently lists 87 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.