AI in Healthcare
New Ways to Navigate Complexity
Modern healthcare decisions are complicated — not just because of medical knowledge, but also because of regulation, patient communication, and the many parameters involved. In hospitals and life sciences, teams often deal with uncertainty.
What if AI could help doctors and researchers see the complexity — and manage it better?
At the AI Summit Kitzbühel 2025, Apply Visual introduced a promising new approach: using visual AI tools to make complex healthcare decisions clearer, faster, and easier to understand.
Their DECIDE model is built for this purpose, aiming to bring transparency and trust into human-AI decision-making in regulated environments like healthcare and life sciences.
Making Healthcare Decisions Easier To See
In their masterclass, Apply Visual demonstrated how traditional AI systems often fail to show why a recommendation is made. This can be a problem in medicine, where transparency, communication, and accountability are essential.
Their answer:
a visual model that maps out how decision parameters interact — including how certain or uncertain a recommendation is. The result? A clearer view of complex decisions.
What is DECIDE?
DECIDE stands for Density-based Evaluation of Contextual Interdependence of Decision-parameter Entropy. It builds on a scientific method adapted from physics and applies it to healthcare.
✅ Visual Risk Mapping
It shows certainty in green, risk in yellow, and uncertainty in red — helping both professionals and patients better understand medical decisions.
✅ Aligned with Regulation
Built with ISO 13485 and EU MDR frameworks in mind, it supports development of AI-based tools like SaMD (Software as a Medical Device) without losing compliance.
✅ Supports Human Judgment
It’s not about replacing clinicians — it’s about offering clear, visual logic that aids decision-making and communication.
Why It Mattered at the AI Summit Kitzbühel
Their Masterclass and Deep Dive Sessions were two of many at AI Summit Kitzbühel focused on real-world use of AI in complex industries. It highlighted how AI can remain ethical, explainable, and practical — especially in sectors where risk is high and trust is essential.
Rather than promoting a product, the sessions sparked discussion around how visual AI can help navigate regulation, clarify uncertainty, and improve shared decision-making.
Conclusion: Responsible AI, Visualized
AI in healthcare isn’t just about automation — it’s about understanding. The DECIDE model introduced at the AI Summit offered a glimpse into a future where clinicians can see, trust, and explain the logic behind AI-supported decisions.
By turning complexity into something visual and transparent, AI becomes not just smarter, but also safer.
Join Us Next Year
And discover what it really takes to make AI work in your business.
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You’ll gain strategic insights from inspiring keynotes, deep-dive sessions, and hands-on Masterclasses – each centered around real business use cases and the practical challenges of scaling AI in complex organizations.
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Sources:
- Masterclass “Applied Visual Decisioning,” AI Summit Kitzbühel 2025
- Apply Visual Linkedin Post, June 2025
- EU Medical Device Regulation