Medical Imaging & Radiology
Companies that apply AI to analyze medical images for diagnostic purposes, workflow optimization, or clinical decision support. Covers general radiology (X-rays, CT scans, MRIs, ultrasounds) across multiple organ systems, as well as specialized imaging in ophthalmology and dermatology.
Companies(6)
Aidoc
Aidoc empowers health systems to improve patient outcomes and operations with enterprise-grade healthcare AI.
Eyenuk, Inc.
Eyenuk is a global AI medical technology company leading in real-world AI eye screening for autonomous disease detection and predictive biomarkers.
Harrison.ai
Harrison.ai develops AI products for radiology and pathology that improve diagnostic accuracy and streamline clinical workflows.
Qure.ai
Qure.ai develops AI-powered radiology solutions to automate interpretation of X-rays and CT scans, enabling faster and more accurate diagnoses globally.
Rad AI
Rad AI develops AI-powered tools for radiologists, automating report generation and clinical decision support to reduce burnout and improve accuracy.
Viz.ai
Viz.ai closes the gaps between patients, clinicians, and life-saving treatments with its AI-powered care coordination platform.
Related Articles
All News →
Europe's Clinical AI Market Faces a Reckoning as U.S. Platforms Pull Back
OpenEvidence's termination of access for UK and EU clinicians is not an isolated business decision — it reflects a deeper structural challenge facing European healthcare systems that have become dependent on U.S.-developed AI tools without building equivalent domestic capabilities.
The Network Is the New Bottleneck for Healthcare AI Infrastructure
The rapid deployment of clinical AI at the point of care is revealing a new constraint: the hospital data center and network infrastructure required to support real-time AI inference at scale. This analysis examines why infrastructure is the next frontier of the health AI buildout.
Aidoc Raises $150 Million Series E Led by Goldman Sachs to Scale Clinical Foundation Model
Aidoc has closed a $150 million Series E round led by Goldman Sachs, with participation from existing investors, to scale its CARE clinical AI foundation model and expand its presence in radiology and emergency medicine workflows globally.
[INTERNAL] Typography Test — All Element Types
This internal test article exercises every HTML element type used in HealthAI Central editorial content. It is not intended for publication.