Clin2
NCT07885150Possibly a fitEnrolling by invitation

Choosing the best measures for AI image tools

Artificial Intelligence Perception and Attitude

This study asks patients, doctors, and others what outcomes matter most when testing AI tools that help read medical images. Your views could help shape future research so these tools are judged on what's truly important.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
30 people
Ages
18 years and older
Study type
Observational

Who can take part

  • You are a patient or a member of the public, and your condition is diagnosed using medical imaging
  • You are a clinician who reads medical images (e.g., radiologist, dermatologist, ophthalmologist, pathologist, or trainee)
  • You research, develop, or regulate AI image-reading tools
  • You are a hospital manager or purchaser of these tools
  • You can speak English fluently

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT06726447Recruiting
AI satisfaction study for patients

This study looks at how satisfied patients and doctors are with using artificial intelligence (AI) in clinics. If you are between 18 and 80 and visiting a doctor for any reason, you may be able to join.

Barcelona, Catalonia
NCT07291960Not yet recruiting
AI help for eye doctors writing retinal image reports

This study tests whether an AI system can help eye doctors write clearer and more accurate reports on retinal images (photos of the back of the eye). The focus is on how doctors and AI work together to describe eye findings.

NCT07760051Recruiting
AI tools for planning hospital care

This study looks at how doctors use different digital tools, including AI, to plan care for people coming into the hospital. It may help make hospital care safer and better planned.

Hangzhou, Zhejiang
NCT07829640Not yet recruiting
AI help for doctors reading chest CT scans

This study tests whether an AI tool can help doctors read chest CT scans more accurately across the entire lung cancer care process. If you are a doctor who reads chest CT scans, you may be able to join and help improve cancer detection.

Wuhan, Hubei
NCT06791499Recruiting
AI assistant for diagnosis using health records and images

This study tests whether an artificial intelligence program can help diagnose diseases by analyzing your medical records and imaging scans. It aims to improve accuracy and speed in identifying health conditions.

Guangzhou, Guangdong
NCT06755060Recruiting
AI-assisted eye care study

This trial tests how artificial intelligence can help doctors make better decisions about eye diseases. It may be a good fit if you have an eye condition and can share your medical records and images.

Zhuhai, Guangdong

Hear when a new Artificial Intelligence Perception and Attitude trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.