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.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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