DiasRDConboyHMGabanyJM, et al.Development of an interactive dashboard to analyze cognitive workload of surgical teams during complex procedural care. IEEE Int Interdiscip Conf Cogn Methods Situat Aware Decis Support. 2018;2018:77-82. doi:10.1109/COGSIMA.2018.8423995
2.
CellinaMCèMAlìM, et al.Digital twins: the new frontier for personalized medicine?Appl Sci. 2023;13(13):7940. doi:10.3390/app13137940
3.
GanguliAPagan-DiazGJGrantL, et al.3D printing for preoperative planning and surgical training: a review. Biomed Microdevices. 2018;20(3):65. doi:10.1007/s10544-018-0301-9. Published 2018 Aug 4.
4.
LanLMaoRQQiuRYKayJde SaD. Immersive virtual reality for patient-specific preoperative planning: a systematic review. Surg Innov. 2023;30(1):109-122. doi:10.1177/15533506221143235
5.
PortnoyYKorenJKhouryA, et al.Three-dimensional technologies in presurgical planning of bone surgeries: current evidence and future perspectives. Int J Surg. 2023;109(1):3-10. doi:10.1097/JS9.0000000000000201. Published 2023 Jan 1.
6.
GolseNJolyFCombariP, et al.Predicting the risk of post-hepatectomy portal hypertension using a digital twin: a clinical proof of concept. J Hepatol. 2021;74(3):661-669. doi:10.1016/j.jhep.2020.10.036
7.
LippertMDumontKABirkelandS, et al.Cardiac anatomic digital twins - findings from a single national centre. Eur Heart J, Digit Health2024. doi:10.1093/ehjdh/ztae070
8.
HuangPHKimKHSchermerM. Ethical issues of digital twins for personalized health care service: preliminary mapping study. J Med Internet Res. 2022;24(1):e33081. doi:10.2196/33081. Published 2022 Jan 31.