
Topol and Rajpurkar propose three models for dividing diagnostic tasks between AI and radiologists to improve workflow outcomes.
Key Details
- 1Eric J. Topol, MD, and Pranav Rajpurkar, PhD, outlined their ideas in a commentary in RSNA's Radiology.
- 2They challenge the traditional 'assistive approach,' citing evidence that integrated workflows don't always enhance results.
- 3Three division-of-labor models are described: AI-first, physician-first, and case allocation based on complexity.
- 4Role separation is promoted to leverage the unique strengths of both AI and radiologists and reduce automation errors.
- 5The authors note that hybrid and adaptive approaches will likely emerge in clinical practice, based on context.
Why It Matters

Source
Radiology Business
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