At HLTH 2025, GE HealthCare is showcasing innovations in agentic AI explore how this advanced technology could be used to aid clinicians in their workflows and improve patient care delivery.
If you are at HLTH, visit booth 3232 to see these innovations in action. And if you can’t make it – we’ve got you covered. Read the articles and white papers featured below to dive deep into the technologies that are helping shape the future of healthcare.
- Announcing research on multi-agent AI architecture for clinical decision support in perinatal care
Perinatal care is at the intersection of profound human connection and clinical complexity. Many decisions carry the weight of two lives, mother and child, bound together in a fundamental relationship in healthcare. Yet clinicians must navigate this sacred responsibility while managing torrents of fragmented data, where critical insights may be scattered across systems and every minute counts toward outcomes that echo through generations.
Electronic medical records (EMRs) capture structured data such as vitals and labs, fetal monitoring systems generate continuous waveforms, and clinical guidelines are buried within PDFs or institutional protocols. Yet in the middle of a busy shift, a labor and delivery physician or nurse must synthesize all of this, alongside personal judgment and team knowledge, into rapid decisions.
The cognitive burden is enormous. Onboarding a new physician at shift change can take more than half an hour, while handoffs risk missing critical details. The result is an environment that demands precision from clinicians who are too often provided disjointed and inefficient tools.
GE HealthCare is conducting research[1] on whether AI prototypes may be able to generate near-real-time patient summaries, present protocol excerpts, and provide informational support in simulated research settings.
- Leveraging AI to predict hospital chaos before it happens
Hospital systems face an increasingly complex operational environment. Inpatient utilization days are projected to grow 9% over the next decade.[2] With hospitals operating under razor thin margins, maximizing operational efficiency without additional capital investments is imperative.
GE HealthCare has demonstrated measurable success in developing offerings to improve operational efficiencies for leading health systems. At Oregon Health & Science University, Command Center enabled the health system to reduce emergency department walkouts by 10%, decrease surgical length of stay by 0.5 days, and improve operating room utilization by 4.5% in its first year. The same offering allowed Duke Health to create capacity for 500 additional patients annually and achieve a 50% reduction in temporary labor requirements.[3]
At HLTH 2025, GE HealthCare is demonstrating ongoing research into AI-powered models and a conversational interface that will allow clinicians to interact with a conversational agent using a natural language interface, and in real time get answers to questions.
- Reinventing radiology imaging workflows with agentic AI
Healthcare systems continue to face significant pressure with an estimated shortfall of 42,000 radiologists in the United States by 2033, alongside imaging study volumes increasing about 5 percent per year.1 This imbalance of workforce and demand highlights the need to research automation and decision-support methods that can help radiologists manage growing caseloads while maintaining diagnostic accuracy and patient care quality.
Visitors to the GE HealthCare experience area at HLTH 2025 will see a demonstration of research concepts exploring how agentic AI systems—built on Model Context Protocol (MCP) and GE HealthCare’s imaging framework—might one day assist diagnostic imaging workflows. When prompted with natural-language instructions such as “perform a coronary review,” the research prototype orchestrates multiple specialized AI agents that collaborate to complete simulated diagnostic tasks.[4]
- Agents of change: Exploring the next era of AI in healthcare
Most existing AI applications in healthcare remain reactive, primarily responding to clinician queries, flagging abnormalities, or accelerating existing workflows.
Current research into agentic AI explores systems that move beyond assistance to act more proactively. Agentic AI represents a new paradigm: rather than waiting for commands, these systems continuously perceive context, analyze complex information, propose actions, and maintain memory across interactions.
This evolution could ultimately transform AI from a reactive tool into a collaborative system—one that supports clinicians more dynamically, while still requiring rigorous safety testing, validation, and regulatory evaluation.
Agentic AI research focuses on five interconnected pillars that may enable capability, accountability, and safety. Dive deep by downloading this white paper that explores the deployment of agentic AI in healthcare.
- How University of Debrecen improved workflow efficiencies with iRT[5]
Clinical professionals at the University of Debrecen, one of Hungary’s most advanced cancer centers, treat between 150 and 200 patients daily. Among them was a glioblastoma patient whose journey from consultation to first treatment spanned 18 to 21 days. This process required manual multi-system registration, paper-based prescriptions, and 4 to 6 hours of physician contouring time.
A breast cancer patient faced similar delays of 14 to 16 days, largely due to redundant data entry across disconnected systems. These inefficiencies contributed to error rates of up to 8 percent in treatment parameters.
In this case study, we examine how the University of Debrecen’s Radiotherapy Department transformed these lengthy, error-prone workflows through the implementation of GE HealthCare’s intelligent Radiation Therapy (iRT™) platform. In addition to being a customer of the iRT platform, the University of Debrecen also partners with GE HealthCare on ongoing clinical innovation and research.
[1] Concept only. May never become a product. Not for Sale. Not cleared or approved by the U.S. FDA or any other global regulator for commercial availability.
[2] https://thisweekhealth.com/news_story/radiologist-shortage-threatens-timely-healthcare-amid-rising-demand/
[4] Concept only. May never become a product. Not for Sale. Not cleared or approved by the U.S. FDA or any other global regulator for commercial availability.
[5] 1This data is unique to the University of Debrecen. The numbers here pertain to two patients treated at the University of Debrecen’s Radiotherapy
department in 2025.
2Data provided by University of Debrecen.
3Quantitative and qualitative results in this case study are unique to the University of Debrecen. These results might not be replicable for other
institutions and settings.
4Data provided by University of Debrecen for 2016-2025 time period.
