Diego Díaz García, Medical Oncologist / CEO / Founder at CánCare – Advanced Specialty in Thoracic Oncology, shared a post on LinkedIn about a paper by Raja-Elie E. Abdulnour et al. published on NEJM:
“Educational Strategies for Clinical Supervision of Artificial Intelligence Use.
The integration of AI into clinical education brings both opportunities and risks. While AI can accelerate expert practice, it also raises concerns such as deskilling and mis-skilling. Faculty may often be less familiar with AI than learners, making shared learning environments essential.
- Adaptive practice — balancing efficiency and innovation — is key in AI-enabled learning, with critical thinking at its core.
- The DEFT-AI framework (Diagnosis, Evidence, Feedback, Teaching, Recommendations) offers structured guidance for fostering AI literacy.
Two approaches to AI use emerge:
- Cyborg: user and AI deeply intertwined in each task.
- Centaur: division of tasks with human oversight.
Developing the ability to shift between these strategies is critical for safe and effective AI-driven clinical supervision.
NEJM.”
Title: Educational Strategies for Clinical Supervision of Artificial Intelligence Use
Authors: Raja-Elie E. Abdulnour, Brian Gin, Christy K. Boscardin
Read the full article.
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