New AI tool detects melanoma with 99% accuracy
New AI tool detects melanoma with 99% accuracy, outperforming existing models.
Why it matters
- Early detection of melanoma can save lives.
- AI could assist doctors in diagnosing skin cancer more accurately and quickly.
By the numbers
- 99.01% accuracy rate on ISIC 2020 dataset.
- Outperformed four other models, with the closest competitor at 98.2% accuracy.
- Trained on over 10,000 images from HAM10000 and 33,000 images from ISIC 2020.
The big picture
- The tool combines two deep learning models to segment and classify skin lesions.
- Potential to expand to other cancers like breast or lung cancer.
- Future plans include automating the process and integrating patient health records.
What they're saying
- Some users question if the AI outperforms human pathologists.
- Concerns about false positives and overdiagnosis.
- Optimism about the potential for early cancer detection.
Caveats
- The system currently requires manual steps between models.
- Further validation is needed against human pathologists and in real-world settings.
What’s next
- Development of a fully automated system.
- Integration of patient health records to improve accuracy.
- Potential expansion to detect other cancers.