Augmented Realities, Artificial Intelligence, and Machine Learning: Clinical Implications and How Technology Is Shaping the Future of Medicine.
Gaby N MoawadJad ElkhalilJordan S KlebanoffSara RahmanNassir HabibIbrahim AlkatoutPublished in: Journal of clinical medicine (2020)
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.
Keyphrases
- artificial intelligence
- machine learning
- healthcare
- big data
- end stage renal disease
- deep learning
- mental health
- newly diagnosed
- chronic kidney disease
- ejection fraction
- peritoneal dialysis
- prognostic factors
- endothelial cells
- palliative care
- physical activity
- body mass index
- patient reported outcomes
- patient reported
- weight loss
- chronic pain
- weight gain