Side-by-side comparison of AI visibility scores, market position, and capabilities
Chicago medical imaging and AI diagnostics (NASDAQ: GEHC) ~$19.7B FY2024 revenue; GE spinoff Jan 2023, Edison AI 100+ models, 4M+ installed devices, Alzheimer's PET tracer competing with Siemens Healthineers.
GE HealthCare Technologies Inc. is a Chicago, Illinois-based medical technology and digital health company — publicly traded on the NASDAQ (NASDAQ: GEHC) as an S&P 500 Health Care component — designing, manufacturing, and servicing medical imaging systems, patient monitoring equipment, pharmaceutical diagnostics, and AI-powered clinical decision support software through approximately 51,000 employees in 160 countries. GE HealthCare was spun off from General Electric Company in January 2023 — one of the most significant healthcare demergers in history — and has operated as an independent public company building its own capital structure, R&D investment priorities, and operational identity separate from GE's industrial conglomerate structure. In fiscal year 2024, GE HealthCare reported revenues of approximately $19.7 billion, with its four business segments contributing: Imaging (MRI, CT, X-ray, molecular imaging — ~$9.1B), Ultrasound (~$3.0B), Patient Care Solutions (monitoring, anesthesia — ~$3.6B), and Pharmaceutical Diagnostics (PET/SPECT contrast agents — ~$2.6B). CEO Peter Arduini has prioritized accelerating GE HealthCare's AI integration across its imaging portfolio — the Edison AI platform (100+ AI models cleared or in development for radiology workflows) embeds AI-assisted detection, workflow optimization, and image quality enhancement into GE HealthCare scanners, positioning the company as a digital health platform rather than a hardware manufacturer.
Viz.ai applies AI to medical imaging to detect critical conditions and automatically coordinate care teams, reducing time from diagnosis to treatment for stroke and other emergencies.
Viz.ai is a healthcare AI company founded in 2016 that applies computer vision and AI to medical imaging to detect critical conditions and automate care coordination workflows. The platform analyzes CT scans and other medical images in real time, identifying conditions including large vessel occlusion stroke, pulmonary embolism, aortic dissection, and incidental findings, then automatically notifying and coordinating the relevant specialists through a HIPAA-compliant communication platform. Viz.ai has received FDA clearance for over 20 AI algorithms and is deployed at over 1,400 hospital sites across the United States. The company raised over $250M at a $1.2B valuation and has demonstrated that AI-powered care coordination reduces door-to-treatment time for stroke by tens of minutes, which translates directly into better patient outcomes. The platform creates a connected care team workflow where radiologists, neurologists, ER physicians, and interventionalists are automatically looped in when a critical finding is detected. Viz.ai serves as essential care coordination infrastructure for time-sensitive conditions where rapid multi-specialty response is critical to preventing death or disability.
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