Clinicians review hundreds of medical images daily, including CT scans, MRIs, PET scans, ultrasounds, and X-rays. Using AI (artificial intelligence) in the Life Sciences to highlight anomalies that require deeper inspection can increase disease detection rates and enhance healthy outcomes.

Applications of AI in Life Sciences :

LandingLens enables always-on inspection and analysis of thousands of images — and it never gets tired. With very low false positives, LandingLens helps catch cases that might otherwise be missed.

Systematic Review :

Clinicians reviewing patient scans can work in close partnership with LandingLens to help detect and review signs of disease. Trained on datasets of known conditions, LandingLens can review thousands of images looking for anomalies or diagnostic mismatches that deserve further investigation. For example, for images tagged as Pneumonia, LandingLens can identify cancer nodules that might have been overlooked at the first review.

Medical Image Triage :

While many medical images provide immediate diagnostic clarity, others can be difficult to interpret. LandingLens can classify every image before clinical review, providing a triage service that prioritizes and optimizes the workload. Clinicians can attend to images that require human expertise and interpretation, while the clearer cases can be moved through the diagnostic process more rapidly, improving patient outcomes.

Biomedical Application :

For a wide range of biomedical research use cases, LandingLens can accelerate image recognition, such as disease detection and diagnosis, drug discovery research, component sorting, pattern recognition and more. For example, LandingLens can recognize autosomal DNA charts, or highlight out-of-range clinical data, and handle multiple other visual tasks both at high-volume and at scale.