
Plusman LLC is a technology company focused on mathematical engineering with a strong emphasis on integrity. They are involved in several key areas: developing AI-powered medical imaging diagnostic support using Deep Learning for image analysis, and applying Deep Learning (image, graph, and language) to drug discovery research. They are also researching general-purpose AI using Deep Learning for language acquisition and exploring quantum computing for cryptography. Their business activities include the research, development, and sale of Computer Aided Detection/Diagnosis (CAD) and image segmentation programs, as well as image conversion/processing technology for modalities like MR and CT. They also engage in R&D for financial product automated trading systems. The company has developed specific products like Plus.Lung.Nodule, a medical device program that displays regions of interest in the lungs, and CXR-AI Plus.CXR, an AI for chest X-ray analysis. They also utilize Graph Convolutional Networks (GCNs) for drug discovery, emphasizing their efficiency over quantum computation.

Plusman LLC is a technology company focused on mathematical engineering with a strong emphasis on integrity. They are involved in several key areas: developing AI-powered medical imaging diagnostic support using Deep Learning for image analysis, and applying Deep Learning (image, graph, and language) to drug discovery research. They are also researching general-purpose AI using Deep Learning for language acquisition and exploring quantum computing for cryptography. Their business activities include the research, development, and sale of Computer Aided Detection/Diagnosis (CAD) and image segmentation programs, as well as image conversion/processing technology for modalities like MR and CT. They also engage in R&D for financial product automated trading systems. The company has developed specific products like Plus.Lung.Nodule, a medical device program that displays regions of interest in the lungs, and CXR-AI Plus.CXR, an AI for chest X-ray analysis. They also utilize Graph Convolutional Networks (GCNs) for drug discovery, emphasizing their efficiency over quantum computation.