참고문헌 (51)

1. Faddis A. The digital transformation of healthcare？technology management. Biomed Instrum Technol.？2018;52(s2):34-8. 

2. Kraus S, Schiavone F, Pluzhnikova, A. et al. Digital？transformation in healthcare: analyzing the current？state-of-research. J Bus Res. 2021;123(C):557-67. 

   상세보기

3. Morillas G, Juan J. The digital transformation of the？aerospace industry in the madrid region: a study of the？situation and future trends. technology, business,？innovation, and entrepreneurship in industry 4.0. Cham:？Springer International Publishing, 2022. 

4. Ovais M , Zia N, Ahmad I, Khalil AT, Raza A, Ayaz？M, Sadiq A, Ullah F, Shinwari ZK. Phyto-therapeutic？and nanomedicinal approaches to cure alzheimer's disease:？Present status and future opportunities. Front Aging？Neurosci. 2018;10:284. 

   상세보기

5. Helm JM, Swiergosz AM, Haeberle HS, Karnuta JM,？Schaffer JL, Krebs VE, Spitzer AI, Ramkumar PN.？Machine learning and artificial intelligence: definitions,？applications, and future directions. Curr Rev？Musculoskelet Med. 2020;13(1):69-76. 

   상세보기

6. Wu Y, Ma Z, Zhao H, et al. Achieve personalized exercise？intensity through an intelligent system and cycling？equipment: A machine learning approach. Appl Sci.？2020;10:7688. 

7. Issam B, Xiaojun Z, Victor U, et al. Wearable sensors？and machine learning in post-stroke rehabilitation？assessment: A systematic review. Biomed. Signal？Processing. Control. 2022;71:103197. 

8. Ian G, Yoshua B, Aaron Courville. Deep learning. The？MIT Press. 2016. 

9. Jordan MI, Tom MM. Machine learning: Trends,？perspectives, and prospects. Science 349. 2015;255-60. 

   상세보기

10. Domingos P. The master algorithm: how the quest for？the ultimate learning machine will remake our world.？Basic Books. 2015. 

11. Ruiz-Real JL, Juan UT, Jose AT, et al. Artificial？intelligence in business and economics research: trends？and future. J Bus Econ Manag. 2021;22(1):98-117. 

12. Hansen EB, Simon B. Artificial intelligence and internet？of things in small and medium-sized enterprises: A？survey. J Manuf Syst. 2021;58:362-72. 

13. Susan L, Anu M, James M, et al. The future of work？after COVID-19. McKinsey Global Institute 18. 2021. 

14. Brougham D, Jarrod H. Smart technology, artificial？intelligence, robotics, and algorithms (STARA):？Employees' perceptions of our future workplace. J Manag？Organ. 2018;24(2):239-57. 

15. Xiao C, Choi E, Sun J. Opportunities and challenges？in developing deep learning models using electronic health？records data: a systematic review. J Am Med Inform？Assoc. 2018;25(10):1419-28. 

    상세보기

16. Doi K. Current status and future potential of？computer-aided diagnosis in medical imaging. Br J Radiol.？2005;78(1): S3-S19. 

17. Wang Z, Allam M, Mingbiao L. Research on e-commerce？personalized recommendation system based on big data？technology. 2021 IEEE 2nd International Conference on？Information Technology, Big Data and Artificial？Intelligence (ICIBA). 2021;2. 

18. Safdar NM, Banja JD, Meltzer CC. Ethical considerations？in artificial intelligence. Eur J Radiol. 2020;122:108768. 

    상세보기

19. Jayanthi VSPKSA, Das AB, Saxena U. Recent advances？in biosensor development for the detection of cancer？biomarkers. Biosens Bioelectron. 2017;91:15-23. 

    상세보기

20. de Faria LV, Lisboa TP, Campos NDS, Alves GF, Matos？MAC, Matos RC, Munoz RAA. Electrochemical methods？for the determination of antibiotic residues in milk: A？critical review. Anal Chim Acta. 2021;1173:338569. 

    상세보기

21. Justino CIL, Duarte AC, Rocha-Santos TAP. Recent？progress in biosensors for environmental monitoring: a？review. Sensors (Basel). 2017;17(12):2918. 

22. Christian G, Antje JB. Biosensors to support sustainable？agriculture and food safety. TrAC Trends in Analytical？Chemistry 2020;128:115906. 

    상세보기

23. Velusamy V, Arshak K, Korostynska O, et al. An overview？of foodborne pathogen detection: in the perspective of？biosensors. Biotechnol Adv. 2010;28(2):232-54. 

    상세보기

24. Kairy D, Lehoux P, Vincent C, et al. A systematic review？of clinical outcomes, clinical process, healthcare？utilization and costs associated with telerehabilitation.？Disabil Rehabil. 2009;31(6):427-47. 

    상세보기

25. Eliasz K. Recognition of sedentary behavior by machine？learning analysis of wearable sensors during activities？of daily living for telemedical assessment of cardiovascular？risk. Sensors. 2018;18(10):3219. 

26. Peretti A, Amenta F, Tayebati SK, Nittari G, Mahdi？SS. Telerehabilitation: review of the state-of-the-art and？areas of application. JMIR Rehabil Assist Technol.？2017;4(2):e7. 

    상세보기

27. Saba Raoof S, Durai MAS. A comprehensive review？on smart health care: applications, paradigms, and？challenges with case studies. Contrast Media Mol Imaging.？2022;2022:4822235. 

28. Kabir ZN, Leung AYM, Grundberg A, et al. Care of？family caregivers of persons with dementia (CaFCa) through？a tailor-made mobile app: study protocol of a complex intervention study. BMC Geriatr. 2020;20(1): 305. 

    상세보기

29. Gregory K, Dimitrios C, Despoina P, et al. Gamified？platform for rehabilitation after total knee replacement？surgery employing low cost and portable inertial？measurement sensor node. Multimed Tools Appl. 2020;79:3161-88. 

30. David W, Zaki H. Developing an artificial intelligence-enabled health care practice: rewiring health care？professions for better care. J Medical Imaging Radiat？Sci. 2019;50(4): S8-S14. 

31. Saravi B, Zink A, ulkumen S, et al. Performance of？artificial intelligence-based algorithms to predict？prolonged length of stay after lumbar decompression？surgery. J Clin Med. 2022;11(14):4050. 

    상세보기

32. Giansanti D, Castrichella L, Giovagnoli MR. New models？of e-learning for healthcare professionals: a training course？for biomedical laboratory technicians. J Telemed Telecare.？2007;13(7):374-6. 

33. Yu KH, Beam AL, Kohane IS. Artificial intelligence？in healthcare. Nat Biomed Eng. 2018;2(10):719-31. 

    상세보기

34. Gordon AM, Richard M. Motor learning: application？of principles to pediatric rehabilitation. Campbell's？Physical Therapy for Children Expert Consult-E-Book.？2016. 

35. Yao S, Swetha P, Zhu Y. Nanomaterial-enabled wearable？sensors for healthcare. Adv Healthc Mater. 2018; 7(1):1-10 

36. Wang Q, Wei C, Panos M. Literature review on wearable？systems in upper extremity rehabilitation. IEEE-EMBS？International Conference on Biomedical and Health？Informatics (BHI). IEEE, 2014. 

37. Butte NF, Ekelund U, Westerterp KR. Assessing physical？activity using wearable monitors: measures of physical？activity. Med Sci Sports Exerc. 2012;44(1):S5-12. 

38. Vas Peter. Artificial-intelligence-based electrical machines？and drives: application of fuzzy, neural, fuzzy-neural,？and genetic-algorithm-based techniques. Vol. 45. Oxford？university press, 1999. 

39. Luxton DD. Artificial intelligence in psychological？practice: Current and future applications and implications.？Professional Psychology: Research and Practice. 2014;45(5):332-39. 

    상세보기

40. Esfahlani SS, Javaid B, Hassan S. Fusion of artificial？intelligence in neuro-rehabilitation video games. IEEE？Access. 2019;7(1):102617-27. 

41. Alrefaei AF, Hawsawi YM, Almaleki D, et al. Genetic？data sharing and artificial intelligence in the era of？personalized medicine based on a cross-sectional analysis？of the Saudi human genome program. Sci Rep. 2022;12(1):1405. 

42. Kavakiotis I, Tsave O, Salifoglou A, et al. Machine learning？and data mining methods in diabetes research. comput？struct biotechnol J. 2017;15(1):104-16. 

43. Zeng C, Huang Y, Yu L, et al. Long-term assessment？of rehabilitation treatment of sports through artificial？intelligence research. Comput Math Methods Med.？2021;1(1):1-8 

44. Meheli S, Sinha C, Kadaba M. Understanding people？with chronic pain who use a cognitive behavioral？therapy-based artificial intelligence mental health app？(wysa): mixed methods retrospective observational study.？JMIR Hum Factors. 2022;9(2):e35671. 

    상세보기

45. Zhijie Z, Daniel WHN, Park HS, et al. 3D-printed？multifunctional materials enabled by artificial-intelligence-assisted fabrication technologies. Nature？Reviews Materials. 2021;6(1):27-7. 

46. Subbu R, Weiler R, Whyte G. The practical use of surface？electromyography during running: does the evidence？support the hype? A narrative review. BMJ Open Sport？Exerc Med. 2015;1(1):e000026. 

    상세보기

47. Giansanti D. Investigation of fall-risk using a wearable？device with accelerometers and rate gyroscopes. Physiol？Meas. 2006;27(11):1081-90. 

48. Qiu S, Wang H, Li J, Zhao H, Wang Z, Wang J, Wang？Q, Plettemeier D, Barhold M, Bauer T, Ru B. Towards？wearable-inertial-sensor-based gait posture evaluation for？subjects with unbalanced gaits. Sensors (Basel). 2020;20(4):1193. 

49. Wu YC, Lin SX, Lin JY, et al. Development of AI algorithm？for weight training using inertial measurement units. Appl？Sci. 2022;12(3):1422. 

50. Rampp A, Barth J, Schulein S, et al. Inertial sensor-based？stride parameter calculation from gait sequences in geriatric？patients. IEEE Trans Biomed Eng. 2015;62(4):1089-97. 

51. Hao L, Ghamisi P, Rasti B, et al. A multi-sensor fusion？framework based on coupled residual convolutional neural？networks. Remote Sens. 2020;12(12):2067.？