Interpretable Machine Learning for Robotic Surgical Assistants
In the high-stakes environment of an operating room, “black box” algorithms are a liability. While deep learning has enabled robots to perform complex tasks like autonomous suturing and tissue manipulation, the inability to explain why a robot makes a specific decision remains a primary barrier to clinical adoption. Interpretable Machine Learning (IML) is the bridge […]
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