{
  "abstract": "The study by Lyell et al 1 is a welcome piece of evidence in the busy world of emergency medicine. It shows that AI assistance can help doctors interpret chest X-rays more accurately, without adding much time. For any emergency physician who has ever squinted at a film in the middle of a hectic shift, this isn’t just a statistical win; it’s a potential game changer for patient safety.",
  "authors": [
    {
      "affiliations": [
        "Jiashan First People’s Hospital, Jiaxing, Zhejiang, China"
      ],
      "name": "Xiaozhu Huang"
    },
    {
      "affiliations": [
        "Jiashan First People’s Hospital, Jiaxing, Zhejiang, China"
      ],
      "name": "Yuchang Fei"
    },
    {
      "affiliations": [
        "Endocrinology, Jiashan First People’s Hospital, Jiaxing, Zhejiang, China"
      ],
      "name": "Zhiwei Hu"
    }
  ],
  "title": "Correspondence on “Evaluating the impact of AI assistance on decision-making in emergency doctors interpreting chest X-rays: a multi-reader multi-case study” by Lyell et al",
  "uid": "261a5cc5-82f3-5abe-9642-c023bdf1b602"
}