An open-source platform for automated skin cancer detection using AI.
M-ISIC: A Multimodal Open-Source International Skin Imaging Collaboration Informatics Platform for Automated Skin Cancer Detection
['FUNDING_OTHER'] · SLOAN-KETTERING INST CAN RESEARCH · NIH-10911118
This study is working on a new tool that uses artificial intelligence to help doctors find skin cancer, especially melanoma, more accurately and quickly, so patients can get better and faster care.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | SLOAN-KETTERING INST CAN RESEARCH (nih funded) |
| Locations | 1 site (NEW YORK, UNITED STATES) |
| Trial ID | NIH-10911118 on ClinicalTrials.gov |
What this research studies
This research focuses on developing a multimodal informatics platform that utilizes artificial intelligence to enhance the detection of skin cancer, particularly melanoma. By creating a well-curated dataset of annotated skin images, the project aims to standardize image acquisition and improve the performance of AI algorithms in diagnosing skin malignancies. The platform will facilitate both in-person and remote evaluations through teledermatology, making it easier for clinicians to access high-quality training materials and improve their diagnostic capabilities. Patients may benefit from earlier and more accurate skin cancer detection through this innovative approach.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals at risk for skin cancer, including those with a family history or previous skin lesions.
Not a fit: Patients with non-skin-related cancers or those who do not have access to dermatological services may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate detection of skin cancer, potentially saving lives.
How similar studies have performed: Other research has shown success in using AI for skin cancer detection, indicating that this approach has potential for significant advancements.
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.
Conditions: Cancer Detection