ARCH-AI Trademark

Providing temporary use of non-downloadable software for assessing, monitoring, validating, and reporting on the safety, accuracy, and performance of artificial intelligence systems and solutions used in medical imaging and radiology, featuring analytical tools designed to measure AI performance within radiological interpretation and diagnostic contexts; software as a service (SaaS) services featuring software for aggregating, analyzing, comparing, and visualizing data on the performance, drift, and reliability of artificial intelligence technologies in clinical imaging interpretation, enabling continuous benchmarking between human radiologists and AI systems; providing scientific research, analysis, and evaluation services in the field of artificial intelligence performance and quality assurance as applied to radiological diagnostics and imaging-based AI software; consulting services in the field of design, validation, lifecycle management, and risk mitigation for artificial intelligence systems used in medical imaging for comparing AI validation protocols with established radiological quality standards; hosting an interactive website featuring technology that enables healthcare facilities and professionals to enroll in, implement, and evaluate programs for artificial intelligence quality assurance in radiology

Providing information in the field of radiology and medical imaging, namely, information regarding performance standards, validation methods, and quality assurance practices for artificial intelligence systems and technologies, namely, cross-disciplinary guidance integrating AI model performance with radiological diagnostic accuracy and safety; providing medical analysis and evaluation services relating to the validation and oversight of AI tools in the field of radiology

Providing benchmarking, business data analysis, and performance reporting services in the field of artificial intelligence and radiology at intersection of artificial intelligence technologies and radiological applications in clinical practice; compiling and analyzing statistical data for business purposes relating to the deployment, utilization, reliability, and outcomes of artificial intelligence systems and technologies used in medical imaging; comparative analysis of AI models and radiologist performance; preparing business reports, summaries, and dashboards regarding artificial intelligence performance for healthcare providers, institutions, and stakeholders in the field of radiology