An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between a false positive and a false negative is that a false positive ...

Researchers at University Medicine Oldenburg have developed an AI tool that delivers fewer false-positive results than ...

False Positives occur when a detection system incorrectly identifies harmless events as risks. This is a common problem with most security vulnerabilities, including secrets. It’s a waste of time and ...

Deep-learning algorithms significantly enhance clinicians’ ability to correctly identify paediatric elbow fractures, a notoriously challenging diagnosis.