CHICAGO — Oct. 20, 2025—GE HealthCare (Nasdaq: GEHC) today announced new research projects in their 2025 AI Innovation Lab, an initiative designed to accelerate early-concept AI innovations within the company. The company has lifted the curtain on leading edge projects that demonstrate where the healthcare industry is headed.
“At GE HealthCare, we are not just developing AI to address today’s most complex healthcare challenges—we are also investing in new research to anticipate tomorrow’s needs,” said Dr. Taha Kass-Hout, GE HealthCare’s Global Chief Science and Technology Officer. “Our AI Innovation Lab projects offer a behind-the-scenes look at areas that we believe hold real potential to transform care for both patients and clinicians. With hospital systems currently harnessing only about 3%[i] of their available data, the opportunity to unlock transformative insights with AI is immense. These projects reflect our commitment to pioneering research that reimagines how AI can be used to balance clinical workloads, enhance efficiency, and deliver measurable outcomes.”
The 2025 AI Innovation Lab projects include:
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Leveraging agentic AI for radiology: The field of radiology is facing a critical shortage of radiologists, even as the demand for imaging is rising. In the U.S., nearly 50% of radiologist job searches went unfilled in 2023[ii], while imaging volumes are growing 5% each year[iii]. Combining advanced imaging tools and AI agents, GE HealthCare is working to develop the industry’s first agentic AI diagnostic imaging assistant that would be integrated into devices, designed specifically for radiology. Innovations in agentic AI involve AI systems that are designed to reason, plan, and act with human oversight, and this agentic AI technology would go beyond traditional radiology tools that simply analyze images. GE HealthCare’s goal is to design a radiologist orchestration software tool that can process scans, allow radiologists to interact with the software using natural language, and create interactive reports, streamlining their workflow so the radiologist can better focus on patient care. In parallel, GE HealthCare is exploring opportunities to bring this capability into current clinical workflows through our enterprise imaging solutions, enabling tighter integration of agentic AI within existing imaging ecosystems. These capabilities would leverage large language models (LLMs), vision language models (VLM), and agents for orchestrating end-to-end workflows.
