[Application analysis of the artificial intelligence model DeepSeek in breast cancer treatment decision-making].

Artificial intelligence is moving fast, and doctors are testing whether popular models can handle complex medical decisions. In a recent study, researchers evaluated whether the AI model DeepSeek could design treatment plans for breast cancer patients. They gathered anonymized medical records from 163 patients, including details like tumor characteristics and past therapies, and fed them into the AI using its "Deep Thinking R1" mode. The goal was to see if the machine could match the expertise of a human multidisciplinary team, which is a group of specialists who collaborate to guide patient care.

The AI proved to be remarkably fast, generating a personalized treatment plan for each patient in under 20 seconds. However, the accuracy left a lot to be desired. Two senior clinical experts reviewed the results and found that only 25.2 percent of the AI-generated plans perfectly matched the regimens created by the human team.

When researchers looked at a specific group of 96 patients to evaluate the AI as a decision support tool, they found an error rate of nearly 47 percent. The authors caution that this is a small, early-stage study conducted at a single hospital over just a two-week period. Still, the findings clearly show that the AI makes significantly different choices than human experts and requires strict professional oversight.