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SECCIONES Y GRUPOS DE TRABAJO


BIBLIOGRAFIA

REALIDAD VIRTUAL

  • Jung MJ, Libaw JS, Ma K, Whitlock EL, Feiner JR, Sinskey JL. Pediatric Distraction on Induction of Anesthesia With Virtual Reality and Perioperative Anxiolysis: A Randomized Controlled Trial. Anesth Analg. 2021 Mar 1;132(3):798-806. doi: 10.1213/ANE.0000000000005004. PMID: 32618627. https://pubmed.ncbi.nlm.nih.gov/32618627/
  • Chan JJI, Yeam CT, Kee HM, Tan CW, Sultana R, Sia ATH, Sng BL. The use of pre-operative virtual reality to reduce anxiety in women undergoing gynecological surgeries: a prospective cohort study. BMC Anesthesiol. 2020 Oct 9;20(1):261. doi: 10.1186/s12871-020-01177-6. PMID: 33036555; PMCID: PMC7547504. https://pubmed.ncbi.nlm.nih.gov/33036555/
  • Koo CH, Park JW, Ryu JH, Han SH. The Effect of Virtual Reality on Preoperative Anxiety: A Meta-Analysis of Randomized Controlled Trials. J Clin Med. 2020 Sep 29;9(10):3151. doi: 10.3390/jcm9103151. PMID: 33003411; PMCID: PMC7600416.https://pubmed.ncbi.nlm.nih.gov/33003411/
  • Sahin G, Basak T. The Effects of Intraoperative Progressive Muscle Relaxation and Virtual Reality Application on Anxiety, Vital Signs, and Satisfaction: A Randomized Controlled Trial. J Perianesth Nurs. 2020 Jun;35(3):269-276. doi: 10.1016/j.jopan.2019.11.002. Epub 2020 Mar 4. PMID: 32146074.https://pubmed.ncbi.nlm.nih.gov/32146074/
  • Park JW, Nahm FS, Kim JH, Jeon YT, Ryu JH, Han SH. The Effect of Mirroring Display of Virtual Reality Tour of the Operating Theatre on Preoperative Anxiety: A Randomized Controlled Trial. IEEE J Biomed Health Inform. 2019 Nov;23(6):2655-2660. doi: 10.1109/JBHI.2019.2892485. Epub 2019 Jan 11. PMID: 30640637.https://pubmed.ncbi.nlm.nih.gov/30640637/

BIG DATA, INTELIGENCIA ARTIFICIAL y MACHINE LEARNING

  • Domb BG, Rosinsky PJ. Editorial Commentary: Predicting Satisfaction After Hip Arthroscopy Using Machine Learning: What Do Treadmills and Black Boxes Have to Do With Arthroscopy? Arthroscopy. 2021 Apr;37(4):1152-1154. doi: 10.1016/j.arthro.2020.12.231. PMID: 33812519. https://pubmed.ncbi.nlm.nih.gov/33812519/
  • Zhang N, Yuan B, Yan J, Cheng J, Lu J, Wu J. Multivariate machine learning-based language mapping in glioma patients based on lesion topography. Brain Imaging Behav. 2021 Feb 22. doi: 10.1007/s11682-021-00457-0. Epub ahead of print. PMID: 33619646.
  • Chen C, Yang D, Gao S, Zhang Y, Chen L, Wang B, Mo Z, Yang Y, Hei Z, Zhou S. Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation. Respir Res. 2021 Mar 31;22(1):94. doi: 10.1186/s12931-021-01690-3. PMID: 33789673; PMCID: PMC8011203. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011203/pdf/12931_2021_Article_1690.pdf
  • Hur J, Tang S, Gunaseelan V, Vu J, Brummett CM, Englesbe M, Waljee J, Wiens J. Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients. Am J Surg. 2021 Mar 26:S0002-9610(21)00215-4. doi: 10.1016/j.amjsurg.2021.03.058. Epub ahead of print. PMID: 33820654. https://pubmed.ncbi.nlm.nih.gov/32146074/
  • Janssen ERC, Osong B, van Soest J, Dekker A, van Meeteren NLU, Willems PC, Punt IM. Exploring associations of preoperative physical performance with postoperative outcomes after lumbar spinal fusion: a machine learning approach. Arch Phys Med Rehabil. 2021 Mar 9:S0003-9993(21)00184-2. doi: 10.1016/j.apmr.2021.02.013. Epub ahead of print. PMID: 33711278. DOI: https://doi.org/10.1016/j.apmr.2021.02.013
  • Tseng, C.C., Gao, J., Talmor, G. et al. Characterizing Patient Questions Before and After Rhinoplasty on Social Media: A Big Data Approach. Aesth Plast Surg (2021). https://doi.org/10.1007/s00266-021-02203-9
  • Izquierdo J, Ancochea J, Savana COVID-19 Research Group , Soriano J. Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing J Med Internet Res 2020;22(10):e21801.https://www.jmir.org/2020/10/e21801. DOI: 10.2196/21801

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