Aju Business Daily Features DeepScout Multi-Cancer Early Detection AI

Aju Business Daily reported that BiX was preparing to launch DeepScout, an AI platform for earlier detection of multiple cancers. The system is intended to detect signs at a pre-cancerous stage and support clinicians before disease becomes more difficult to treat.

The workflow collects CT images and clinical information, improves data quality, analyzes several cancers through a multi-label diagnostic model, and visualizes the results. By evaluating relationships among multiple organs, the platform aims to overcome limitations of systems that assess one cancer or one organ at a time.

BiX applies quantitative analysis to CT and clinical indicators and uses image-restoration technology developed through more than ten years of research. This is intended to improve stability when scans contain low-dose noise, metal artifacts, motion, or other quality problems commonly encountered in hospitals.

The company reported 95% diagnostic accuracy for pancreatic cancer, more than one million secured data cases, multiple patents, and published research. Hospital proof-of-concept projects were underway, with plans to expand from liver, biliary-tract, and pancreatic cancer to additional organs.

The report identifies BiX as a company led by Janghwan Choi of Ewha Womans University's Department of Artificial Intelligence and connects the technology to his team's earlier work in self-supervised representation learning for medical-image analysis.