Using AI and perceptual computing to improve clinical care
Ethical and Human Factors Impacting Successful Translation of Perceptual Computing to Improve Clinical Care
This study is looking at how using smart technology can help doctors make better diagnoses and treatment plans while making sure your privacy is protected and your consent is respected.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Baylor College of Medicine NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project ID | NIH-11082316 on NIH RePORTER |
What this research studies
This research investigates how perceptual computing combined with artificial intelligence can enhance clinical diagnosis and treatment. It focuses on addressing ethical and practical challenges that arise when implementing these advanced technologies in healthcare settings. By analyzing how data is collected and used, the research aims to ensure that patient privacy and consent are respected while maximizing the benefits of personalized medicine. The study will also explore how to effectively translate large amounts of data into actionable insights for individual patient care.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with chronic conditions such as asthma or those seeking innovative approaches to their healthcare.
Not a fit: Patients who prefer traditional methods of diagnosis and treatment without the use of advanced technology may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and personalized treatment plans for patients.
How similar studies have performed: Previous research has shown promise in using AI and big data for healthcare improvements, but the specific application of perceptual computing in this context is relatively novel.
Where this research is happening
Houston, United States
- Baylor College of Medicine — Houston, United States (Active)
Researchers
- Principal investigator: Kostick, Kristin Marie — Baylor College of Medicine
- Study coordinator: Kostick, Kristin Marie
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.