论文标题
通过眼睛跟踪和XR改善X射线诊断
Improving X-ray Diagnostics through Eye-Tracking and XR
论文作者
论文摘要
越来越需要帮助放射科医生进行X射线读数，并快速，舒适，有效地进行诊断。随着放射科医生努力提高生产率，必须考虑阅览室在解释复杂考试中的影响，并确保较高的体积和报告速度不会损害患者的结果。虚拟现实（VR）是评估X射线图像的临床实践的破坏性技术。我们认为，与VR设备和机器学习相连的眼睛追踪可能会克服不足的人体工程学姿势和较差的房间条件所带来的障碍，而当专业人员检查数字图像时，通常会导致错误的诊断。
There is a growing need to assist radiologists in performing X-ray readings and diagnoses fast, comfortably, and effectively. As radiologists strive to maximize productivity, it is essential to consider the impact of reading rooms in interpreting complex examinations and ensure that higher volume and reporting speeds do not compromise patient outcomes. Virtual Reality (VR) is a disruptive technology for clinical practice in assessing X-ray images. We argue that conjugating eye-tracking with VR devices and Machine Learning may overcome obstacles posed by inadequate ergonomic postures and poor room conditions that often cause erroneous diagnostics when professionals examine digital images.
