AI that reads medical records to suggest diagnoses
Developing and Evaluating Multi-Modal Clinical Diagnostic Reasoning Models for Automated Diagnosis Generation
['FUNDING_OTHER'] · UNIVERSITY OF COLORADO DENVER · NIH-11180357
Researchers are building AI that reads your electronic medical records and suggests likely diagnoses to help doctors make more accurate decisions for patients.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF COLORADO DENVER (nih funded) |
| Locations | 1 site (Aurora, UNITED STATES) |
| Trial ID | NIH-11180357 on ClinicalTrials.gov |
What this research studies
From a patient's point of view, the team is creating language-based AI that can read clinical notes, lab results, and other parts of your health record to generate possible diagnoses. They will combine text understanding with other EHR data and medical knowledge so the AI reasons more like a clinician. The project uses benchmark tasks and preliminary data to train and test these models before trying them on larger, real-world medical records. The goal is to make tools that fit bedside workflows and point clinicians to time-sensitive or missed information.
Who could benefit from this research
Good fit: Ideal participants are patients whose electronic health records are held by participating health systems and who agree to have their records used for model testing or development.
Not a fit: People without EHR data in participating systems or those with very rare conditions not represented in the training data may not see direct benefit.
Why it matters
Potential benefit: If successful, this work could reduce diagnostic errors and help patients get the right treatment faster.
How similar studies have performed: Some AI and clinical NLP tools have shown promise in specific diagnostic tasks, but building multi-modal EHR models that generate bedside diagnoses is a newer, less-tested approach.
Where this research is happening
Aurora, UNITED STATES
- UNIVERSITY OF COLORADO DENVER — Aurora, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: GAO, YANJUN — UNIVERSITY OF COLORADO DENVER
- Study coordinator: GAO, YANJUN
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.