Using smartphones to improve thyroid cancer diagnosis in low-income countries
Adapting a machine learning algorithm to predict thyroid cytopathologyin LMIC
This study is testing a new way to help doctors in low and middle-income countries quickly and accurately diagnose thyroid problems using smartphone images, which could make it easier for patients to get the right care without unnecessary surgeries.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-11166725 on NIH RePORTER |
What this research studies
This research aims to enhance the diagnosis of thyroid diseases and cancers in low and middle-income countries (LMIC) by adapting a machine learning algorithm that analyzes images captured by smartphones. The project focuses on fine needle aspiration biopsies (FNAB), a common procedure for assessing thyroid nodules, which often lack adequate cytopathology expertise in these regions. By implementing this technology, the research seeks to provide timely and accurate assessments of FNAB specimens, potentially reducing unnecessary surgeries and associated risks for patients. The study will be conducted in collaboration with established research partnerships in Tanzania and Vietnam.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals in low and middle-income countries who have thyroid nodules requiring evaluation.
Not a fit: Patients outside of low and middle-income countries or those without thyroid nodules may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve the accuracy of thyroid cancer diagnoses, reducing unnecessary surgeries and healthcare costs for patients in LMIC.
How similar studies have performed: Other research has shown promise in using machine learning and mobile technology for medical diagnostics, indicating potential success for this approach.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Lee, Walter Tsong — Duke University
- Study coordinator: Lee, Walter Tsong
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.