Improving AI algorithms for better diagnosis in medicine
A physiologically-focused approach to training multi-modality AI algorithms in medicine
['FUNDING_OTHER'] · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · NIH-10687584
This study is working on smart computer programs that can look at different types of medical information all at once to help doctors make better diagnoses for conditions like heart failure, so patients can get more accurate insights about their health.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA, SAN FRANCISCO (nih funded) |
| Locations | 1 site (SAN FRANCISCO, UNITED STATES) |
| Trial ID | NIH-10687584 on ClinicalTrials.gov |
What this research studies
This research focuses on developing advanced artificial intelligence (AI) algorithms that can analyze multiple types of medical data simultaneously, rather than just one at a time. By mimicking how expert physicians integrate information from various sources, the project aims to enhance the accuracy and complexity of medical diagnoses, particularly for conditions like heart failure. The approach involves training these AI systems to understand and process physiological data in a more holistic manner, which could lead to better patient outcomes. Patients may benefit from improved diagnostic tools that provide more comprehensive insights into their health.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients with heart failure or other conditions requiring multi-faceted diagnostic approaches.
Not a fit: Patients with conditions that can be diagnosed effectively using single-modality tests may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and timely diagnoses for patients with complex medical conditions.
How similar studies have performed: Other research has shown promise in using multi-modal AI approaches, indicating potential for success in this novel application.
Where this research is happening
SAN FRANCISCO, UNITED STATES
- UNIVERSITY OF CALIFORNIA, SAN FRANCISCO — SAN FRANCISCO, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: TISON, GEOFFREY H — UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- Study coordinator: TISON, GEOFFREY H
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.