Whether your lab is fully digital or still using glass slides, Franklin.ai’s cancer detection AI is designed to be plug and play. Our platform works with digital pathology and traditional microscopy so you can use it in any lab.
By helping identify malignant features and triage high risk cases, our AI allows pathologists to prioritise complex slides while maintaining diagnostic accuracy at high volumes. This reduces variability, speeds up turnaround times and helps with the pressure of increasing caseloads – especially in high throughput or resource constrained labs.
Franklin.ai’s deep learning models are trained on real world, expert annotated pathology data to give consistent, evidence based results. Whether used in digital workflows through whole slide imaging or as a decision support tool in glass slide interpretation, our AI for cancer diagnosis helps pathology teams work more efficiently without compromising accuracy.
As pathology services get busier, our AI driven cancer detection is a scalable solution – improving quality, reproducibility and confidence in everyday diagnosis.
