DIAGNOSTIC IMAGING
Clinical trials for DIAGNOSTIC IMAGING explained in plain language.
Never miss a new study
Get alerted when new DIAGNOSTIC IMAGING trials appear
Sign up with your email to follow new studies for DIAGNOSTIC IMAGING, keep track of the ones that matter, and come back to a personal dashboard instead of checking manually.
Genom att skicka in godkänner du våra Användarvillkor
-
New scan duo could spot prostate cancer more accurately
Diagnosis Recruiting nowThis study tests whether combining two advanced scans (PSMA PET and MRI) is better than standard methods for finding prostate cancer in men with elevated PSA levels. About 204 men will get both scans and a biopsy to confirm results. The goal is to see if the combo scan reduces un…
Matched conditions: DIAGNOSTIC IMAGING
Phase: PHASE3 • Sponsor: Telix Pharmaceuticals (Innovations) Pty Limited • Aim: Diagnosis
Last updated May 26, 2026 06:07 UTC
-
AI boosts doctor accuracy in reading scans, new study shows
Diagnosis Recruiting nowThis study tests whether an AI tool can help radiologists (doctors who read medical images) diagnose common diseases more accurately and quickly. About 1000 patients who had CT or MRI scans will have their images reviewed by doctors with and without AI assistance. The goal is to …
Matched conditions: DIAGNOSTIC IMAGING
Sponsor: The Third Affiliated Hospital of Southern Medical University • Aim: Diagnosis
Last updated May 26, 2026 06:05 UTC
-
New Light-Based cavity detector could spare kids from X-Ray exposure
Diagnosis Recruiting nowThis study tests how well a special light (near-infrared) finds cavities between baby teeth compared to standard X-rays. About 174 children aged 4 to 10 will try both methods and rate which feels better. The goal is to see if the light method is just as accurate and more comforta…
Matched conditions: DIAGNOSTIC IMAGING
Sponsor: Sawanya Prutthithaworn • Aim: Diagnosis
Last updated May 26, 2026 05:50 UTC
-
AI reads CT scans to spot early vs. advanced kidney cancer
Diagnosis Recruiting nowThis study aims to train a computer model to automatically tell the difference between early (T1-T2) and more advanced (T3) kidney cancer on CT scans. Researchers will use scans from 1,000 patients to develop and test the AI tool. If successful, this could help doctors make more …
Matched conditions: DIAGNOSTIC IMAGING
Sponsor: Peking University First Hospital • Aim: Diagnosis
Last updated May 19, 2026 11:48 UTC
-
Can a quick ultrasound training help ER staff spot heart problems faster?
Knowledge-focused Recruiting nowThis study looks at whether a short, hands-on training program can help emergency department advanced practice providers (like physician assistants and nurse practitioners) get better at using heart ultrasound. About 75 providers will take part in simulation training and then use…
Matched conditions: DIAGNOSTIC IMAGING
Phase: NA • Sponsor: Duke University • Aim: Knowledge-focused
Last updated May 26, 2026 05:50 UTC