Lab Medicine Rounds Teaching Artificial Intelligence
Jul 21, 2023
Bradley Erickson, Director of the Mayo Clinic Artificial Intelligence Lab and radiology professor, shares insights on the transformative role of AI in healthcare. He discusses the importance of AI in improving diagnoses and addressing biases in clinical practices. Erickson advocates for integrating AI into medical education, emphasizing modern training tools over traditional textbooks. He also highlights the need for clear communication of AI's confidence levels and the evolving landscape of AI's applications in radiology for enhancing patient care.
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AI's Strength in Quantitative Tasks
- AI excels at quantitative tasks that humans find tedious, like measuring tumor size.
- It can perform these tasks faster and reduce physician workload while improving accuracy.
AI Lacks True Intelligence
- AI is not truly intelligent; it performs pattern recognition without common sense.
- Current AI tools lack calibrated confidence values, which clinicians need for better decision-making.
Train Trainees on AI Deeply
- Train medical trainees to understand AI’s workings and failures deeply.
- Allocate as much training time on AI as on statistics to improve future medical care.