Using artificial intelligence to improve melanoma diagnosis
Practical Randomized Controlled Trial of Artificial Intelligence for Melanoma Diagnosis (PRACTA-MEL)
This study is looking at how artificial intelligence can help doctors diagnose melanoma more accurately, so fewer people need unnecessary skin biopsies, which could lead to better and faster care for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Sloan-Kettering Inst Can Research NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-11133995 on NIH RePORTER |
What this research studies
This research investigates how artificial intelligence (AI) can assist in the diagnosis of melanoma, aiming to reduce the number of unnecessary skin biopsies while maintaining accurate detection rates. By analyzing clinician surveys and implementing AI algorithms in real-world settings, the study seeks to identify both the benefits and challenges of adopting this technology in clinical practice. The goal is to enhance the diagnostic process and ultimately improve patient outcomes through early detection of melanoma.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who have suspicious skin lesions that may require biopsy for melanoma diagnosis.
Not a fit: Patients with confirmed melanoma or those who do not have any suspicious skin lesions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate melanoma diagnoses, reducing unnecessary procedures and improving patient care.
How similar studies have performed: Preliminary studies at renowned institutions have shown promise in using AI for melanoma diagnosis, indicating potential for success in this approach.
Where this research is happening
New York, United States
- Sloan-Kettering Inst Can Research — New York, United States (Active)
Researchers
- Principal investigator: Rotemberg, Veronica Miriam — Sloan-Kettering Inst Can Research
- Study coordinator: Rotemberg, Veronica Miriam
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.