CancerWorld shared a post on LinkedIn:
“AI isn’t replacing radiologists — it’s empowering them.
In 2016, Geoffrey Hinton predicted we should “stop training radiologists.” Fast forward nearly a decade, and radiologists are not only still here, they’re thriving alongside AI.
As Prof. Daniel Truhn from RWTH Aachen University explains, the reality of radiology is far more complex than binary image reading. AI can ASSIST, but not REPLACE, the nuanced reasoning, cross-disciplinary insight, and human judgment radiologists bring to the table.
Where AI excels:
- Mammography — thanks to vast, standardized 2D datasets
- Repetitive, low-cognitive tasks (e.g., measuring lesion volumes)
- Workflow support — prioritizing urgent exams, highlighting findings
Where AI struggles:
- Complex 3D imaging (CT, MRI) requiring contextual reasoning
- Reimbursement and integration barriers
- Transparency and trust — the “black box” problem
Truhn envisions a future where AI acts like a trusted colleague, one that assists, verifies, and collaborates.
His startup, Synagen AI, is already working on agent-based AI systems that combine imaging, genomics, and pathology to support oncology decisions.
The future of radiology isn’t man versus machine.
It’s man with machine, building trust, transparency, and teamwork.
Read the full CancerWorld article by Sophie Fessl here.”
More posts featuring CancerWorld on OncoDaily.