Healthcare

Insurance Claims Fraud Detection

Healthcare insurance companies utilize anomaly detection to identify fraudulent insurance claims, such as claims for services not typically associated with a patient's medical history, duplicate claims, or claims with unusual billing codes.

Medical Billing Fraud Detection

Anomaly detection techniques are used to detect anomalies in medical billing data, such as billing for services not provided, upcoding (billing for a more expensive service than provided), or unbundling (billing separately for services that should be billed together).

Medical Image Synthesis

Generative AI can generate synthetic medical images, such as MRI scans, CT scans, and X-rays. These synthetic images can be used to augment training data for machine learning models, improve diagnostic accuracy, and develop new medical imaging techniques.

Drug Discovery

Generative AI models can be used in drug discovery to generate novel molecular structures with desired properties. These models can accelerate the process of drug development by exploring vast chemical space and identifying potential drug candidates.