AI in radiology: from assistance to intelligence
- By Philips
- April 16 2026
- Duration 2: 36
AI is evolving rapidly—from task-specific tools to intelligent systems embedded across radiology workflows. But as capabilities expand, an essential question remains: where should the line be drawn between assistance and automation? In this conversation, we explore how AI is evolving from a supportive tool into a true partner for clinicians, helping interpret data, streamline workflows, and unlock new possibilities in patient care without removing human oversight, responsibility, or clinical judgment.
At-a-glance:
- 00:00–01:15 – Defining augmentation vs automation
- 01:15–02:30 – Why human authorization remains essential
- 02:30–03:30 – Embedding AI responsibly into clinical workflows
AI as a co-pilot, not an autopilot
Across perspectives, one theme is consistent: AI works best as a co-pilot. It can assist with detection, prioritization, and triage - but final interpretation and accountability must remain human.
The role of AI changes depending on setting. In high-volume environments, automation supports speed and consistency. In academic or teaching hospitals, AI augments learning and decision-making rather than replacing human input. Context, not capability, determines how AI should be applied.
The most effective AI systems don’t announce themselves. They integrate seamlessly into existing workflows, supporting radiologists without adding complexity or distraction.
As radiology transforms, quality has to remain at the center of everything we do.
Professor Steven Wong Bak Siew, MBChB, MMed
Radiologist & Chair, RIS–PACS Steering Committee
Singapore
As a reporting radiologist, you’re responsible for the final interpretation. AI can support the process, but the radiologist must remain in control and authorize the results.
Dr. J.J. Visser MD, PhD, MSc
Radiologist, CMIO Radiology & Nuclear Medicine
The Netherlands
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Disclaimer
The physicians’ opinions and clinical experiences presented herein are specific to the featured physician and are for information purposes only. The results from their experiences may not be predictive of all cases. Individual results may vary depending on a variety of patient-specific attributes and related factors. Nothing in this presentation is intended to provide specific medical advice or to take the place of written law or regulations.