The future of healthcare begins with the fundamentals of unifying the hospital system. AI can help you achieve that.
Imagine a future where machines can help detect diseases more than ever before. Imagine a future in which clinicians no longer burden fragmented systems and AI not only supports diagnosis, but also predicts disease before symptoms develop. For GE Healthcare, this vision is rapidly becoming a reality.
At the heart of this transformation is data interoperability. Despite impressive advances in AI and diagnostics, hospitals continue to operate with disconnected systems.
for Lehel Ferenczi, Data and analysis of GE Healthcare's Managing Directors and Senior Directors is one of the biggest obstacles.
“Before we talk about AI, we need to make sure our systems talk to each other,” he says.
Pre-Innovation Interoperability
The headline focuses on groundbreaking algorithms, but Ferenczi considers that the future of healthcare will begin with the basics. It's a unified hospital system. He envisions a seamless ecosystem in which patient information flows between departments, enabling real-time decisions and personalized care.
“From the moment a patient comes in, their data must be traceable and accessible at any point of care,” he says. Without connected data, even the best AI tools can't work effectively.
Ai to gain trust
GE's AI journey began with pneumothorax detection. One patient, flagged by AI during routine testing, received a life-saving intervention. Other solutions, such as breast cancer detection tools, can help radiologists manage the enormous image load while reducing false positives.
GE has also developed an ultrasound guidance system that supports less experienced users by providing real-time feedback.
But Ferenczi is clear. Explanational possibilities are essential. “From 2026, AI medical devices will not be allowed in the EU.” In one case, GE found that AI models identify image labels rather than pathology. This is a lesson in the need for transparent, well curated data.
Accelerated through collaboration
GE's strategy lies in three pillars: smarter devices, data usage and digital platforms. Modern devices collect better data. AI handles that. Digital tools visualize and share it. Security remains at the heart of the company, and by pushing towards cloud solutions, it provides robust protection against emerging threats.
Our partnership with EIT Health has driven multiple innovations. One project improved the accuracy of radiation therapy using MRI. Another development developed obstetric smart ultrasound to assist in the non-invasive detection of fetal abnormalities. The HEAI program is currently training clinicians in European AI fundamentals.
“EIT Health accelerates progress by bringing together academia, industry and clinicians,” says Ferenyi. “Innovation is faster and more effective.”
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