Clinical trials
Artificial Intelligence (AI) in Diagnosis clinical trials
Below are recruiting artificial intelligence (ai) in diagnosis clinical trials, each written for real people, not researchers. We’re tracking 69 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07766863Recruiting
AI support for adult emergency room patients
This trial tests an artificial intelligence (AI) support tool in emergency rooms at Karolinska University Hospital. The AI may help doctors make faster or more accurate decisions, which could improve care for adult patients.
Stockholm, HuddingeAges 18 years+ - NCT07408531Recruiting
AI-enhanced lung cancer screening study
This trial uses artificial intelligence to better predict your lung cancer risk from your low-dose CT scan. You will watch a short video, answer a survey, and optionally give a blood sample to help improve future screening.
Chicago, IllinoisAges 50–80 - NCT07664488Recruiting
AI vs. Manual Analysis of Skull X-rays
This trial tests whether a computer program using artificial intelligence can measure skull and jaw landmarks from X-rays as accurately as a human expert. It may help improve future orthodontic care.
Pavia, ItalyAges Any age - NCT07626060Recruiting
AI Tools for Chest Pain Risk Assessment
This study tests whether artificial intelligence (AI) programs can accurately calculate a chest pain risk score to help doctors decide who needs urgent heart tests. You'll be monitored for 30 days to see if the AI's predictions were correct.
Istanbul, IstanbulAges 18 years+ - NCT06059378Recruiting
AI helps diagnose small colon polyps during colonoscopy
This trial uses artificial intelligence to help doctors decide if small polyps found during a colonoscopy are harmless. If the AI confirms a polyp is benign, it may be left in place instead of removed, making the procedure simpler and safer for you.
Montreal, QuebecAges 45–80 - NCT07098884Recruiting
Using smartphone photos and AI to diagnose lung nodules
This trial uses photos of lung nodule tissue taken with a smartphone and analyzes them with artificial intelligence to improve diagnosis and predict outcomes. It may help people who are scheduled for lung surgery based on CT scans.
Hefei, AnhuiAges 20–75 - NCT07073430Recruiting
AI tool to help diagnose precancerous colon polyps
This trial tests an artificial intelligence system that helps doctors find and diagnose tubular adenomas (a type of precancerous polyp) during colonoscopy. It may improve early detection of colorectal cancer.
Wuhan, HubeiAges 18 years+ - NCT07352475Recruiting
AI feedback to improve kidney doctor reasoning
This trial tests if feedback from an AI system can help doctors and medical trainees improve their reasoning when solving kidney-related case scenarios. You participate online and get a chance to practice with real-world cases.
LilleAges 18 years+ - NCT06553911Recruiting
AI tools for diagnosing respiratory infections
This trial uses artificial intelligence (AI) to help doctors read X-rays or CT scans of people with respiratory infections. The goal is to see if AI can make diagnosis faster and more accurate.
ShanghaiAges 1–90 - 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 - NCT07721116Recruiting
AI Study of Knee Imaging and Treatment Results
This study uses artificial intelligence (AI) to better understand knee images from healthy people and those with knee arthritis. It aims to predict how well knee injections might work for you.
Taipei, TaiwanAges 18 years+ - NCT05981950Recruiting
AI for diagnosing retinal diseases in real-world settings
This study tests how well an AI system can diagnose retinal diseases from eye photos. It might help if you need a quick and accurate diagnosis using standard eye imaging.
Beijing, Beijing MunicipalityAges 1–100 - NCT06621810Recruiting
AI for melanoma detection in children and young adults
This study uses artificial intelligence to help detect melanoma (a type of skin cancer) and predict risk in children, teens, and young adults. Researchers want to see if AI can spot melanoma early and assess risk better.
TübingenAges Any age - NCT06626178Recruiting
AI for preventing smoking-related diseases
This study uses artificial intelligence to analyze CT scans and other health data to better identify people at risk for smoking-related diseases like lung cancer. Researchers hope to improve early detection and prevention.
MilanAges 18 years+ - NCT06957093Recruiting
AI‐assisted diabetes care vs standard management
This study tests whether an AI‐powered digital health platform can help people with type 2 diabetes better manage their blood sugar. If you use a smartphone and have had diabetes for at least a year, this may be a convenient way to receive extra support.
Changchun, JilinAges 18–75 - NCT06988579Recruiting
AI-assisted lung cancer screening study
This trial tests whether using AI to help radiologists read lung CT scans can find cancer earlier and lower healthcare costs. You may qualify if you are at risk for lung cancer and have not been screened recently.
Guangzhou, GuangdongAges 40–74 - NCT07075679Recruiting
AI vs double reading for breast cancer screening
This study compares a single radiologist reading your mammogram with help from artificial intelligence (AI) to the standard method of two radiologists reading it. The goal is to see if AI-assisted reading is just as good at finding cancer while saving time and resources.
OlomoucAges 45–69 - NCT07079592Recruiting
Detecting pulmonary hypertension with AI and EKGs
This trial uses an artificial intelligence program to analyze a standard EKG to see if it can detect pulmonary hypertension (high blood pressure in the lungs). It might help find the condition earlier and without invasive tests.
TaipeiAges 50–85 - NCT07087418Recruiting
AI imaging study for digestive diseases (IBD, TB, Behçet's)
This trial uses artificial intelligence to combine CT/MR scans and colonoscopy images to better diagnose and predict outcomes for people with inflammatory bowel disease, intestinal tuberculosis, or Behçet's disease. It aims to see if AI can help doctors make more accurate decisions.
ShanghaiAges Any age - NCT07133516Recruiting
AI heart ultrasound study for adults ages 18-80
This study uses artificial intelligence to help evaluate heart ultrasounds. It is testing whether AI can accurately measure heart function in adults with various heart conditions, such as coronary disease, valve problems, high blood pressure, atrial fibrillation, heart failure, or cardiomyopathy.
Huainan, AnhuiAges 18–80 - NCT07151001Recruiting
AI test for early diabetic eye disease (retinopathy)
This trial uses an AI system to test if it can find early signs of diabetic eye disease (diabetic retinopathy) in people with diabetes. If you have diabetes but no known eye problems, the AI might help catch issues early.
Richmond Hill, New YorkAges 22 years+ - NCT07217236Recruiting
AI ECG to predict need for heart device
This trial uses artificial intelligence to analyze your ECG to see if you might be at risk for needing a heart device like a pacemaker. It's a way to check your heart health early.
TaipeiAges 65–90 - NCT07402668Recruiting
AI to help doctors predict preterm birth
This trial tests whether artificial intelligence (AI) helps doctors feel more confident when predicting preterm birth. You would use ultrasound images and get AI feedback to compare with standard care.
AabenraaAges Any age - NCT07458425Recruiting
Lung cancer screening study using AI
This study tests how well an AI tool can predict lung cancer risk, based on your health information. It looks at how patients feel about this approach to screening, with the goal of making screening more personal and effective.
Chicago, IllinoisAges 50–80
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Common questions
- Are there clinical trials for artificial intelligence (ai) in diagnosis?
- Yes. Clin2 currently lists 69 recruiting artificial intelligence (ai) in diagnosis 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 artificial intelligence (ai) in diagnosis 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 artificial intelligence (ai) in diagnosis 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.