If you listen to the media, AI is already revolutionizing radiology and putting me out of a job. Let me assure you: hospitals would love for that to be true. Radiologists are in short supply. But it’s not true. Not even close.
All in Artificial Intelligence
If you listen to the media, AI is already revolutionizing radiology and putting me out of a job. Let me assure you: hospitals would love for that to be true. Radiologists are in short supply. But it’s not true. Not even close.
Radiologists, AI developers, and the media alike must adopt an objective, evidence-based approach to AI. Hype can undermine patient care by fostering unrealistic expectations and encouraging the premature or risky use of AI technologies. While RSNA 2024 showcased exciting advances, it also underscored how far we are from AI truly revolutionizing radiology.
As one lecture concluded: “AI is here—embrace it, validate it, advance it.” I would add: “and approach it with realism and a healthy dose of skepticism.”
“Short of a silver bullet cure for metastatic breast cancer, can we achieve close to 100% reduction in breast cancer mortality using current screening technologies? A careful re-assessment and re-implementation of current screening approaches may get us much closer. If this topic interests you, read on.”
“…From neuro to breast, and every organ in between,
The radiologic puzzle, so complex and keen,
The boards are the gatekeepers, to this noble art,
A challenge that tests, the very soul and heart…”