Clin2
NCT07470463Possibly a fitRecruiting

Testing two AI methods for medical interviews

Differential DiagnosisDiagnostic Accuracy

This trial compares two AI approaches to see which one helps doctors diagnose conditions better during remote patient interviews. It may help improve how AI assists healthcare providers.

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 licensed doctor in a field like dermatology, family medicine, or emergency medicine.
  • You are 18 years or older.
  • You can use a computer or tablet with reliable internet for remote sessions.

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.

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, Huddinge
NCT07457840Enrolling by invitation
AI predictions for clinician decisions

This trial tests how well doctors and nurses use AI predictions to help make decisions. You'll answer a few clinical cases online.

San Francisco, California
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
NCT07341906Enrolling by invitation
AI vs. dermatologist for skin diagnosis

This study tests whether an AI tool can help general practitioners diagnose skin conditions as accurately as a dermatologist. If you are an adult whose doctor already used OMNIDOC to send a skin image for expert review, you may be able to take part.

Nice, Alpes Maritimes
NCT07650799Recruiting
Using artificial intelligence to help diagnose rare diseases

This study is testing whether an artificial intelligence (AI) tool can help doctors diagnose rare diseases that have been hard to identify. If you join, the AI will review your medical information and previous test results to suggest possible diagnoses, which might speed up finding the right answer for you.

Cangzhou
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

Hear when a new Diagnostic Accuracy trial opens

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