Using AI to improve medical diagnosis accuracy
SCH: AI-DOCTOR COLLABORATIVE MEDICAL DIAGNOSIS
This study is working on a smart system that helps doctors spot lung cancer more accurately by teaming up with them, making it easier for both the AI and the doctors to work together for better patient care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Houston NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project ID | NIH-10904023 on NIH RePORTER |
What this research studies
This research focuses on developing an AI-based framework that collaborates with human radiologists to enhance the accuracy of medical diagnoses, particularly in detecting conditions like lung cancer. The project is divided into three main aims: first, creating computational principles for optimal interaction between AI and radiologists; second, designing a user-friendly interface for this collaboration; and third, evaluating the effectiveness of these approaches in real-world applications. By integrating advanced technologies such as gaze sensing and deep learning, the research aims to minimize diagnostic errors and improve patient outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients undergoing diagnostic imaging, particularly those at risk for lung cancer or other serious conditions.
Not a fit: Patients who are not undergoing imaging studies or do not have conditions that require radiological diagnosis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce diagnostic errors in radiology, potentially saving thousands of lives each year.
How similar studies have performed: Previous research has shown promise in using AI to assist in medical diagnostics, indicating that this approach could lead to significant advancements in the field.
Where this research is happening
Houston, United States
- University of Houston — Houston, United States (Active)
Researchers
- Principal investigator: Nguyen, Hien Van — University of Houston
- Study coordinator: Nguyen, Hien Van
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.