Steering with Intelligence: Magnetic Catheters Guided by AI
![A reinforcement learning system leverages an LSTM-modeled magnetic catheter-where state is defined by tip position [latex]X_{t},Y_{t}[/latex] and goal [latex]X_{g},Y_{g}[/latex]-to train an agent, employing either a Deep Q-Network or TD3, to select angular increments [latex]\Delta\theta_{1},\,\Delta\theta_{3}[/latex]-with [latex]\Delta\theta_{2}=\Delta\theta_{1}[/latex] due to coupling-and optimize a reward function balancing goal proximity with control effort, effectively establishing closed-loop control of the catheter’s tip.](https://arxiv.org/html/2512.21063v1/Overview2.png)
Researchers are leveraging the power of artificial intelligence to achieve unprecedented precision in navigating magnetically steered catheters within the body.
Science
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