Painkillers with Foresight: Teaching Machines to Anticipate Cancer Pain
A patient says the pain is manageable. The medication chart looks stable. The latest score is not alarming. Then, sometime before the next formal reassessment, the pain breaks through. That is the operational problem behind Zhuang et al.’s study on predicting lung-cancer pain episodes with a hybrid machine-learning and large-language-model pipeline.1 The paper is not really about whether “AI can predict pain,” a sentence that sounds impressive until one remembers that dashboards have been predicting things since before consultants discovered the word “agentic.” The more interesting question is narrower and more useful: when should a hospital trust structured data, and when should it ask a language model to read the messy clinical story around the data? ...