All Professions
High RiskHealthcare
Accelerating
Radiologist
AI diagnostic imaging systems (Google DeepMind, Enlitic) now match or exceed radiologists in detecting cancer, fractures, and anomalies in X-rays, MRIs, and CT scans. The image-reading portion is increasingly automated.
38K current workers
Major disruption: By 2030
68%Automation Risk
High Risk
Automation Risk Trajectory
Historical progression and projected automation risk for Radiologists through 2030
What AI Is Replacing
- Routine scan reading and flagging
- Normal/abnormal triage
- Standard report generation
- Pattern recognition in imaging
What Humans Still Own
- Complex case consultation
- Treatment planning decisions
- Patient communication
- Rare disease diagnosis
Top Skills to Develop Now
AI radiology toolsInterventional radiologyClinical AI validation
Sources: NEJM (2022), Nature Medicine (2023)
Related Professions
PathologistNuclear Medicine PhysicianMedical Imaging Technician