Next Article in Journal
Sex-Dependent Aggregation of Tinnitus in Swedish Families
Next Article in Special Issue
Systematic Review and Meta-Analysis on Hysterectomy by Vaginal Natural Orifice Transluminal Endoscopic Surgery (vNOTES) Compared to Laparoscopic Hysterectomy for Benign Indications
Previous Article in Journal
The Role of Native T1 Mapping in the Diagnosis of Myocarditis in a Real-World Setting
Previous Article in Special Issue
Increased Institutional Surgical Experience in Robot-Assisted Radical Hysterectomy for Early Stage Cervical Cancer Reduces Recurrence Rate: Results from a Nationwide Study
Open AccessReview

Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine

1
Department of Obstetrics and Gynecology, The George Washington University Hospital, Washington, DC 20052, USA
2
Department of Biomedical Science, Philadelphia College of Osteopathic Medicine, Suwanee, GA 30024, USA
3
Department of Obstetrics and Gynecology, Main Line Health, Wynnewood, PA 19096, USA
4
Department of Obstetrics and Gynecology, Francois Quesnay Hospital, 78200 Mantes-la-Jolie, France
5
Campus Kiel, Kiel School of Gynaecological Endoscopy, University Hospitals Schleswig-Holstein, 24103 Kiel, Germany
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2020, 9(12), 3811; https://doi.org/10.3390/jcm9123811
Received: 28 September 2020 / Revised: 18 November 2020 / Accepted: 20 November 2020 / Published: 25 November 2020
(This article belongs to the Special Issue Recent Advances in Minimally Invasive Surgery)
Technology has been integrated into every facet of human life, and whether it is completely advantageous remains unknown, but one thing is for sure; we are dependent on technology. Medical advances from the integration of artificial intelligence, machine learning, and augmented realities are widespread and have helped countless patients. Much of the advanced technology utilized by medical providers today has been borrowed and extrapolated from other industries. There remains no great collaboration between providers and engineers, which may be why medicine is only in its infancy of innovation with regards to advanced technologic integration. The purpose of this narrative review is to highlight the different technologies currently being utilized in a variety of medical specialties. Furthermore, we hope that by bringing attention to one shortcoming of the medical community, we may inspire future innovators to seek collaboration outside of the purely medical community for the betterment of all patients seeking care. View Full-Text
Keywords: surgery; artificial intelligence; machine learning; augmented reality surgery; artificial intelligence; machine learning; augmented reality
Show Figures

Figure 1

MDPI and ACS Style

Moawad, G.N.; Elkhalil, J.; Klebanoff, J.S.; Rahman, S.; Habib, N.; Alkatout, I. Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine. J. Clin. Med. 2020, 9, 3811. https://doi.org/10.3390/jcm9123811

AMA Style

Moawad GN, Elkhalil J, Klebanoff JS, Rahman S, Habib N, Alkatout I. Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine. Journal of Clinical Medicine. 2020; 9(12):3811. https://doi.org/10.3390/jcm9123811

Chicago/Turabian Style

Moawad, Gaby N.; Elkhalil, Jad; Klebanoff, Jordan S.; Rahman, Sara; Habib, Nassir; Alkatout, Ibrahim. 2020. "Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine" J. Clin. Med. 9, no. 12: 3811. https://doi.org/10.3390/jcm9123811

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop