The share of U.S. doctors using AI in practice has doubled, yet many are hesitant about patients using AI for interpreting radiology results.
Key Details
- 1AI use among U.S. physicians rose from 38% in 2023 to 81% in 2024 per AMA survey.
- 2AMA polled nearly 1,700 physicians across various specialties and practice settings.
- 346% of respondents said they would never or rarely want patients to use AI to interpret radiology reports.
- 4Physicians cite AI's promise in reducing burnout and aiding decision-making but urge technology should enhance, not replace, doctors.
- 5Survey builds on previous years' data to track trends in augmented intelligence adoption.
Why It Matters
Rapid growth in AI adoption signals its integration into everyday clinical workflows, including radiology. However, hesitancy regarding patient use of AI for interpreting imaging reveals ongoing concerns about accuracy, safety, and physician oversight in radiology AI applications.
Source
Radiology Business
Related News
•AuntMinnie
AI Models Show High Sensitivity but Moderate Specificity for Lung Nodule Classification on CT
AI shows high sensitivity but only moderate specificity in classifying lung cancer nodules on CT, indicating a role as a rule-out adjunct.
•HealthExec
Survey Reveals Top 6 Concerns About Healthcare AI for 2026
A new survey highlights six main concerns clinicians and patients have about healthcare AI in 2026, including bias, governance, deskilling, hallucinations, accountability, and source validation.
•Radiology Business
AI Triage Reduces Mammography Screening Workloads by 77%
AI used as a first reader in breast cancer screening can reduce radiologist workloads by 77%.