
As global healthcare systems confront mounting challenges—rising costs, aging populations, and increasing demand for personalized care—cities are embracing artificial intelligence (AI) to help reshape how care is delivered. Among the global frontrunners, Amsterdam stands out for its visionary approach to AI in healthcare. Backed by robust collaboration between academia, government, and industry, the city is cultivating AI solutions that are practical, ethical, and human-centered.
Notable Examples of AI in Amsterdam’s Healthcare Sector
AI in Radiology – LUMC Hospital
Leiden University Medical Center’s Radiology Department has undergone a six-year transformation using AI tools to improve diagnostic accuracy and scale healthcare delivery. The integration of AI has streamlined workflows and enabled faster, more reliable decision-making for clinicians.
Kepler Vision – Smart Elderly Care
Kepler Vision ’s “Night Nurse” is an AI-powered vision system that monitors elderly patients to detect falls and emergencies in real time, allowing for timely interventions and better outcomes, especially in long-term care environments.
HealthSage AI – Digital Assistant for Doctors
This Amsterdam-based platform uses AI to automate administrative workflows, simplify patient communications, and allow doctors to focus more on direct care—reducing burnout while improving healthcare delivery.
Lapsi Health – Non-Invasive Diagnostics
Lapsi Health offers an AI-enabled stethoscope that analyzes heart data instantly, supporting fast, non-invasive diagnostics—a critical advantage in emergency settings.
Ellogon.ai – Personalized Cancer Treatment
Ellogon.ai uses AI to personalize cancer therapies by tailoring treatment strategies to individual patients, aiming for more effective, less invasive outcomes.
Pacmed Critical – Smarter ICU Decisions
Developed by Pacmed, this AI tool assists doctors in deciding when patients can be safely discharged from intensive care units (ICUs). Already in use at OLVG Hospital, it improves capacity planning and reduces readmission risks.
DeepHealth– Early Lung Cancer Detection
This startup specializes in AI-powered medical imaging. Its solution, focused on identifying lung nodules in CT scans, allows for earlier detection and treatment of lung cancer—potentially saving countless lives.
AutoK – Real-Time Antibiotic Dosing
AutoK uses AI and big data to calculate precise, real-time antibiotic doses for sepsis patients, improving outcomes and minimizing the risk of resistance.
Spotlight: Amsterdam UMC’s Synthetic Patient Records
To address privacy and bias concerns in AI development, Amsterdam UMC has developed synthetic patient records. These simulated datasets mimic real patient data without using any actual personal information, making them ideal for training AI models that are both effective and ethically sound.
A City Built on Responsible Innovation
Amsterdam’s healthcare ecosystem is distinguished not only by its technical sophistication but also by its ethical foundation. AI projects in the city are guided by EU-level privacy laws (like GDPR), robust public-private partnerships, and inclusive design thinking. This ensures that innovation is aligned with public trust, transparency, and patient safety.
Did you know? As of 2024, over 70% of Amsterdam hospitals had implemented at least one AI-driven solution in clinical operations, according to the Amsterdam Economic Board.
Looking Ahead: DSC Next 2026 and Amsterdam’s Global Role
As a testament to its leadership, Amsterdam will host DSC Next 2026, a major international data science conference that brings together top minds in AI, healthcare, and innovation. The event will be a catalyst for launching new ideas, sharing case studies, and strengthening global partnerships aimed at reshaping healthcare for the better.
Conclusion
From real-time diagnostics to personalized treatments and smarter hospital operations, Amsterdam’s AI ecosystem is driving a healthcare revolution that is not just high-tech but also deeply human. By championing responsible innovation, the city is setting a global benchmark—and all eyes will be on Amsterdam again as it hosts DSC Next 2026.
References
1. How AI Is Transforming Healthcare in Amsterdam – Iamsterdam
2. Case Study: AI in Radiology at LUMC Hospital – VU Amsterdam
3. How is Amsterdam Revolutionising AI in Healthcare – Amsterdam Economic Board