[1]Kulikowski CA.Beginnings of Artificial Intelligence in Medicine (AIM): Computational Artifice Assisting Scientific Inquiry and Clinical Art-with Reflections on Present AIM Challenges[J].Yearb Med Inform,2019,28(1):249-256.
[2]陈佳丽,曾莉,韩颖.人工智能在产科护理实践中应用的研究进展[J].中华现代护理杂志,2019,26(12):1676-1680.
[3]陆言巧,沈兰,何奔.人工智能在心血管疾病的辅助诊疗中的应用[J].上海交通大学学报,2020,40(2):259-263.
[4]《中国心血管健康与疾病报告2019》编写组.《中国心血管健康与疾病报告2019》要点解读[J].中国心血管杂志, 2020, 25(5)401-410.
[5]陈韵岱.浅谈医疗大数据与人工智能技术在心血管疾病诊疗中的应用[J].科技新时代, 2019(2): 48-49.
[6]Hannun AY, Rajpurkar P, Haghpanahi M, et al. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network[J]. Nat Med, 2019, 25(1): 65-69.
[7]华伟,张妮潇.人工智能在心脏电生理和起搏中的应用[J].中国心血管杂志,2020,25(5):480-484.
[8]Datong C, Minghui L, Cheng J, et al. Coronary Calcium Detection Based on Improved Deep Residual Network in Mimics[J].J Med Syst, 2019, 43(5): 119.
[9]Betancur J, Otaki Y, Motwani M, et al. Prognostic value of combined clinical and myocardial perfusion imaging data using machine learning[J].JACC Cardiovasc Imaging, 2018,11(7): 1000-1009.
[10]Bai WJ, Sinclair M, Tarroni G, et al. Automated cardiovascular magnetic resonance image analysis with fully convolutional networks[J]. J Cardiovasc Magn Reson, 2018, 20(1): 65-67.
[11]乐梅军.基于Android平台的移动端高血压管理App[D].南昌:江西财经大学,2018.
[12]高珊.老年高血压病的移动平台管理新模式探索[D].大连:大连医科大学,2018.
[13]王朋朋,应燕萍,高忠兰.APP在H型高血压出院患者延续护理中的应用[J].护士进修杂志,2016,31(12):1129-1132.
[14]夏炜妍,曹松梅,罗彩凤,等.基于物联网远程血压监测结合APP管理对高血压患者的影响[J].护理学杂志,2018,33(1):5-8.
[15]郑一梅,叶晶,方晋.心血管家庭关护APP对冠心病患者自我管理行为的影响[J]中华现代护理杂志,2019, 25 (35):4615-4619.
[16]杨学青,张铮,李海香,等.移动医疗 APP 及微信群的延续护理在中老年冠心病患者中的应用[J].现代临床护理,2019,18(4):43-46.
[17]潘晓.移动医疗APP在中青年PCI患者自我管理中的应用研究[D].南宁:广西医科大学,2018.
[18]Zisis G, Huynh Q, Yang Y, et al. Rationale and design of a risk-guided strategy for reducing readmissions for acute decompensated heart failure: the Risk-HF study[J].ESC Heart Fail, 2020, 7(5): 3151-3160.
[19]Ishiguro K, Majima Y. Utilization of Communication Robot in Patient Education[J].Stud Health Technol Inform,2016,225:913-914.
[20]Jiang Y, Jiao N, Nguyen HD, et al. Effect of a mHealth programme on coronary heart disease Prevention among working population in Singapore: A single group pretest-post-test design[J]. J Adv Nurs, 2019,75(9):1922-1932.
[21]Guo Z, Yee RB, Mun KR, et al. Experimental evaluation of a novel robotic hospital bed mover with omni-directional mobility[J]. Clinical Trial,2017,65:389-397.
[22]Ienca M, Jotterand F,Vica C,et al. Social and assistive robotics in dementia care:Ethical recommendations for research and practice[J].Int J Soc Robot, 2016,8(4):565-573.
[23]Metzler TA, Lewis LM,Pope LC. Could robots become authentic companions in nursing care?[J] Nurs Philos, 2016,17(1): 36-48.
[24]Yeh SW, Lin LF, Tam KW,et al.Efficacy of robot-assisted gait training in multiple sclerosis: A systematic review and meta-analysis[J].Mult Scler Relat Disord, 2020, 41:102034.doi: 10.1016/j.msard.2020.102034.
[25]Gevaert AB, Adams V, Bahls M,et al. Towards a personalised approach in exercise-based cardiovascular rehabilitation: How can translational research help? A ‘call to action’ from the Section on Secondary Prevention and Cardiac Rehabilitation of the European Association of Preventive Cardiology[J].Eur J Prev Cardiol,2020, 27(13):1369-1385.
[26]Maalouf N, Sidaoui A, Elhajj IH,et al. Robotics in Nursing: A Scoping Review[J]. J Nurs Scholarsh, 2018,50(6):659-660.
[27]Udolph AJ, Vaughn J, Crego N. Integrating telepresence robots into nursing simulation[J].Nurse Educator,2017,42(2):E1-E4.
[28]Roney L, Westrick S, Acri M, et al. Technology use and technological self-efficacy among undergraduate nursing faculty[J].Nurs Educ Perspect, 2018,38(3):113-118.
[29]薛珠晴,戴玥.介入治疗模拟工具在实习护士临床教学中的应用与效果评价[J]中国实用护理杂志,2016,32(z1):140-141.
[30]罗艳,吕艳,冯帅.心血管专科新入职护士规范化培训的实施效果评价[J].中西医结合心血管病电子杂志,2019,7(31):147-149.
[31]Lynn LA. Artificial intelligence systems for complexdecision-making in acute care medicine: a review[J]. Patient Saf Surg,2019,13:6-33.
[32]郑伟,王建荣.大数据对护理工作影响及应用前景的研究[J].现代临床护理,2016,15(8): 75-77.
[33]Sitzman KL, Jensen A, Chan S.Creatinga global community of learner sinnursing and beyond:Caringscience,mindful practice MOOC[J]. Nurs Educ Perspect, 2016, 37(5):269-274.
[34]Hachisuka K.Rehabilitation and nursing-care robots[J].Nihon Rinsho, 2016, 74(4): 697-701.
[35]袁力蓉,谭文君,朱皓阳,等.智能吸痰机器人安全性和有效性的实验研究[J].临床医学研究与实践,2020,5(17):5-8.
[1]周 斌,冯卫忠,潘雪飞,等.某院2010年及2015年住院患者的大数据分析[J].医学研究与战创伤救治(原医学研究生学报),2016,18(03):309.[doi:10.3969/j.issn.1672-271X.2016.03.026]
[2]朱晓梅,谈永奇,马晓明,等.大数据背景下军队医院财务管理系统的研究与思考[J].医学研究与战创伤救治(原医学研究生学报),2019,21(3):326.[doi:10.3969/j.issn.1672-271X.2019.03.025]
[3]沈国梁,王海玲.大数据在医院药品管理中的应用和挑战[J].医学研究与战创伤救治(原医学研究生学报),2019,21(4):432.[doi:10.3969/j.issn.1672-271X.2019.04.024]
[4]朱寻,卢光明.人工智能在骨肌影像中的诊断应用进展[J].医学研究与战创伤救治(原医学研究生学报),2023,25(1):63.[doi:10.3969/j.issn.1672-271X.2023.01.013]
ZHU Xun,LU Guangming.Diagnostic and application of artificial intelligence in musculoskeletal system imaging[J].JOURNAL OF MEDICALRESEARCH —COMBAT TRAUMA CARE,2023,25(03):63.[doi:10.3969/j.issn.1672-271X.2023.01.013]
[5]何柳,邢滔,许定虎,等.人工智能技术在诊断颅内动脉瘤中的临床意义[J].医学研究与战创伤救治(原医学研究生学报),2023,25(2):156.[doi:10.3969/j.issn.1672-271X.2023.02.009]
HE Liu,XING Tao,XU Dinghu,et al.Clinical significance of artificial intelligence technology in the diagnosis of intracranial aneurysms[J].JOURNAL OF MEDICALRESEARCH —COMBAT TRAUMA CARE,2023,25(03):156.[doi:10.3969/j.issn.1672-271X.2023.02.009]