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人工智能在肿瘤放射治疗学临床教学中的应用研究 被引量:3

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摘要 文章以2019年9月至2021年9月在西安交通大学第一附属医院接受放射治疗培训的40名学生为研究对象,将其分为对照组和实验组,分别采用传统教学模式和人工智能辅助教学模式,并以试卷考试、临床实践操作及调查问卷形式,比较两组学生的学习效果及对教学的满意程度,结果发现,学习结束后,两组学生理论考核成绩未见明显差别,而实践操作上,实验组学生完成靶区勾画花费时间较对照组明显缩短,靶区勾画考核成绩明显高于对照组,且实验组学生对教学满意度明显高于对照组,可见人工智能在肿瘤放射治疗学临床教学中的应用,可激发学生自主学习兴趣,提高教学效果及教学满意度。
出处 《西部素质教育》 2022年第18期116-119,共4页 Western China Quality Education
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  • 1乔爱玲,王楠.教师教育技术培训模式新探[J].中国电化教育,2005(10):20-24. 被引量:30
  • 2刘学礼.循证医学的发展及其伦理思考[J].医学与社会,2005,18(12):49-51. 被引量:6
  • 3Fei H, Chong Z, Shaomin H, et al. Long-term outcomes and prognos-tic factors of re-irradiation for locally recurrent nasopharyngeal carcino- ma using intensity-modulated radiotherapy [ J ]. Clinical Oncology, 2012,24(8) : 569-576.
  • 4Silke T, Corinna B. Intensity-modulated radiotherapy versus conven- tional and 3D conformal radiotherapy in patients with head and neck cancer: Is there a worthwhile quality of life gain? [ J]. Cancer Treat- ment Reviews ,2011,37: 511-519.
  • 5Richard S, Anrelie I, Vincent G, et al. A pre-chnical assessment of an atlas-based automatic segmentation tool for the head and neck[ J ]. Radiotherapy and Oncology, 2009,93: 474-478.
  • 6Amy VY, Angela W, Iddo W, et al. Atlas-based segmentation im- proves consistency and decreases time required for contouring postoper- ative endometrial cancer nodal volumes[ J]. Int. J Radiation oncolo- gy biol. Phys, 2011,79: 943-947.
  • 7Pejavar S. Computer-assisted, atlas-based segmentation for target vol- ume delineation in whole pelvic IMRT for prostate cancer [J]. Int J Radiat Oncol Biol Phys, 2008,72: S148.
  • 8Lin A, Kubicek G, Piper JW, et al. Atlas-based segmentation in prostate IMRT: Timesavings in the clinical workflow[ J]. Int J Radiat Oncol Biol Phys, 2008,72 : S328-S329.
  • 9John Manavis, Leonidas Sivridis, Michael I. Koukourakis. Nasopha- ryngeal carcinoma the impact of CT-scan and of MRI on staging, radio- therapy treatment planning, and outcome of the disease [ J ]. Journal of Clinical Imaging, 2005,9 : 128-133.
  • 10Aure LI, Fre DD, Francois B, et al. Evaluation of an atlas-based auto- matic segmentation software for the delineation of brain organs at risk in a radiation therapy clinical context[J]. Radiotherapy and Oncalo- gy,2008, 87: 93-99.

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