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
- 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 - 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 - 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+ - 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 - 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+ - 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+ - 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 - 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+ - NCT06463444RecruitingPhase 1
Precision treatment for inoperable liver cancer
This trial tests a new precision approach for people with liver cancer that cannot be removed by surgery. It uses a computer model to analyze your tumor and genetic information to see if combining HAIC (chemotherapy directly into the liver), lenvatinib (a targeted drug), and a PD-1 inhibitor (immunotherapy) is the right treatment for you.
Wuhan, HubeiAges 18–75 - 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 - 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 - NCT06088134Recruiting
Predicting survival after kidney cancer surgery with CT scans
This study uses a computer model to analyze your CT scans and predict how long you might stay cancer-free after surgery. It aims to help doctors personalize follow-up care for clear cell kidney cancer.
Chongqing, Chongqing MunicipalityAges Any age - 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 - 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 - 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+ - 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 - 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 - 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 - NCT06506318Recruiting
Predicting drug-resistant liver abscess with deep learning
This trial uses a computer model based on deep learning to predict whether a bacterial liver abscess will be resistant to multiple antibiotics. It looks at your CT scan images to help doctors choose the right treatment sooner.
Shenyang, LiaoningAges 18 years+ - NCT05140889Recruiting
AI helps predict asthma severity in children
This trial studies an AI (computer) model that uses CT scan images plus health and blood/clinical information to predict how severe asthma is in children. It may help doctors better understand your child’s asthma severity and tailor care.
PaviaAges 6–17 - NCT06463392Recruiting
Deep learning tool to diagnose post-radiation nasopharyngeal changes
This trial tests a new computer-based tool (deep learning) to help diagnose a condition called sbORN (suspected benign or recurrent nasopharyngeal carcinoma) after radiation therapy. It aims to see if the tool can accurately tell if a suspicious spot is a recurrence or something harmless.
Guangzhou, GuangdongAges 18 years+ - NCT07146737Recruiting
Predicting cornea shape after ICL implant surgery
This trial uses a computer model to predict how the cornea changes after ICL implantation, which is a lens placed inside the eye to correct vision. It tests if the model can help doctors plan safer surgeries.
Nanchang, JiangxiAges 18–45 - NCT06842446Recruiting
Fast detection of blood clots using machine learning
This trial tests whether a machine learning algorithm can quickly detect deep vein thrombosis (blood clots) in people coming to the emergency room. It could help speed up diagnosis and treatment.
SarpsborgAges 18 years+ - NCT07127939Recruiting
AI eye test for traditional Chinese medicine body type
This study uses eye photos and artificial intelligence to figure out your traditional Chinese medicine body type. It may help doctors understand your health better without extra poking or prodding.
Nanchang, JiangxiAges 18–45
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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.