SECCIONES Y GRUPOS DE TRABAJO

• 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/

• 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

• Berg K. Telehealth in Anesthesia, an Update. Anaesthesia for Uncommon and Emerging Procedures. 2021;73-80. Published 2021 Mar 19. doi:10.1007/978-3-030-64739-1_9 https://link.springer.com/chapter/10.1007%2F978-3-030-64739-1_9
• Seger C, Cannesson M. Recent advances in the technology of anesthesia. F1000Res. 2020;9:F1000 Faculty Rev-375. Published 2020 May 18. doi:10.12688/f1000research.24059.1 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236591/
• Yadav KS, Kapse-Mistry S, Peters GJ, Mayur YC. E-drug delivery: a futuristic approach. Drug Discov Today. 2019 Apr;24(4):1023-1030. doi: 10.1016/j.drudis.2019.02.005. Epub 2019 Feb 19. PMID: 30794860. https://www.sciencedirect.com/science/article/abs/pii/S1359644618304665?via%3Dihub
• Schults J, Cooke M, Richards J, Theodoros J, Andresen E, Paterson R, Alcock M. mHealth Applications for Children and Young People With Persistent Pain: A Scoping Review. Clin Nurs Res. 2019 Sep;28(7):779-794. doi: 10.1177/1054773818795078. Epub 2018 Aug 21. PMID: 30126292. https://journals.sagepub.com/doi/10.1177/1054773818795078?url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&rfr_dat=cr_pub++0pubmed&
• Mathis S, Schlafer O, Abram J, Kreutziger J, Paal P, Wenzel V. Anästhesie für Medizinstudierende : Kurzanleitung zur praktischen Anästhesie bei Erwachsenen mit webbasierter Videoillustrierung [Anesthesia for medical students : A brief guide to practical anesthesia in adults with a web-based video illustration]. Anaesthesist. 2016 Dec;65(12):929-939. German. doi: 10.1007/s00101-016-0231-y. PMID: 27787571. https://link.springer.com/article/10.1007/s00101-016-0231-y
• Attri JP, Khetarpal R, Chatrath V, Kaur J. Concerns about usage of smartphones in operating room and critical care scenario. Saudi J Anaesth. 2016 Jan-Mar;10(1):87-94. doi: 10.4103/1658-354X.169483. PMID: 26952181; PMCID: PMC4760050. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4760050/
• Lalloo C, Jibb LA, Rivera J, Agarwal A, Stinson JN. "There's a Pain App for That": Review of Patient-targeted Smartphone Applications for Pain Management. Clin J Pain. 2015 Jun;31(6):557-63. doi: 10.1097/AJP.0000000000000171. PMID: 25370138. https://journals.lww.com/clinicalpain/Abstract/2015/06000/_There_s_a_Pain_App_for_That___Review_of.9.aspx

• Pedraja J, Maestre JM, Rabanal JM, Morales C, Aparicio J, Del Moral I. Role of 3D printing for the protection of surgical and critical care professionals in the COVID-19 pandemic. Papel de la impresión 3D para la protección de los profesionales del área quirúrgica y críticos en la pandemia de COVID-19. Rev Esp Anestesiol Reanim. 2020;67(8):417-424. doi:10.1016/j.redar.2020.07.011. https://www.elsevier.es/es-revista-revista-espanola-anestesiologia-reanimacion-344-articulo-papel-impresion-3d-proteccion-profesionales-S0034935620302012
• Hsu G, Fiadjoe JE. The Pediatric Difficult Airway: Updates and Innovations. Anesthesiol Clin. 2020 Sep;38(3):459-475. doi: 10.1016/j.anclin.2020.05.001. Epub 2020 Jul 16. PMID: 32792177. https://www.sciencedirect.com/science/article/abs/pii/S1932227520300331?via%3Dihub
• Stramiello JA, Saddawi-Konefka R, Ryan J, Brigger MT. The role of 3D printing in pediatric airway obstruction: A systematic review. Int J Pediatr Otorhinolaryngol. 2020 May;132:109923. doi: 10.1016/j.ijporl.2020.109923. Epub 2020 Feb 1. PMID: 32035351. https://www.sciencedirect.com/science/article/abs/pii/S0165587620300665?via%3Dihub
• Gando S, Labarca G, Majid A, Folch E, Mehta HJ, Jantz M, Fernandez-Bussy S. Aplicaciones de la impresión 3D en la vía aérea central [Airway tridimensional printing]. Rev Med Chil. 2019 Oct;147(10):1315-1322. Spanish. doi: 10.4067/s0034-98872019001001315. PMID: 32186640. https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0034-98872019001001315&lng=en&nrm=iso&tlng=en
• Powers MK, Lee BR, Silberstein J. Three-dimensional printing of surgical anatomy. Curr Opin Urol. 2016 May;26(3):283-8. doi: 10.1097/MOU.0000000000000274. PMID: 26825651. https://journals.lww.com/co-urology/Abstract/2016/05000/Three_dimensional_printing_of_surgical_anatomy.13.aspx

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