Systematic review and meta-analysis of augmented reality in medicine, retail, and games

Parekh, Pranav; Patel, Shireen; Patel, Nivedita; Shah, Manan

doi:10.1186/s42492-020-00057-7

Cited by 117 publications

(54 citation statements)

References 77 publications

(76 reference statements)

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“…A limitation of the study is the small sample size; future study could replicate this contribution involving more participants with the aim of generalizing results to other countries and healthcare contexts as well. For example, a recent systematic review and meta-analysis by Parekh, Patel, Patel, and Shah [43] showed the relevant application of augmented reality also in the medical area. Similarly, Pulijala and colleagues [44] The technologies used in this study could be considered expensive or difficult to learn, however the technology, by its nature, gets progressively smaller and cheaper, becoming more affordable for everyone.…”

Section: Discussionmentioning

confidence: 99%

Augmenting Surgery: Medical Students’ Assessment and Ergonomics of 3D Holograms vs. CT Scans for Pre-Operative Planning

Triberti¹,

Petrella²,

Gorini³

et al. 2021

EAI Endorsed Trans Perv Health Tech

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INTRODUCTION: Mixed reality (MR) allows surgeons to pre-operatively assess patients' anatomy (e.g., tissue to be removed). However, medical students have limited access to this technology, and express both the desire to try it and suspicious attitudes. OBJECTIVES: To assess students' experience with traditional vs. innovative technology for pre-operative planning. METHODS: 11 medical students analyzed a lung cancer case using CT scans or a 3D hologram (MR) and assessed the technology in terms of mental workload, emotions and formative value. RESULTS: MR resulted in less cognitive load and effort, shorter response time and more positive emotions. No differences emerged in formative value, but the students expressed the desire to be trained both in traditional and innovative technology for pre-operative planning. CONCLUSION: Medical students respond positively to "hands-on" experiences of technology for pre-operative planning. The time may be ripe to include MR in medical formation.

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Section: Discussionmentioning

confidence: 99%

Augmenting Surgery: Medical Students’ Assessment and Ergonomics of 3D Holograms vs. CT Scans for Pre-Operative Planning

Triberti¹,

Petrella²,

Gorini³

et al. 2021

EAI Endorsed Trans Perv Health Tech

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show abstract

“…The final equation will give you a y-value for any x-value, not just those x and y values plotted with points. There are two types of least square regression: one is ordinary least square regression and the second is partial least square regression (PLSR) [45,46].…”

Section: Least Squaresmentioning

confidence: 99%

“…A relation identified by such an algorithm as the underlying source pattern is also referred to as stable, significant, or invariant. For our purposes, we will aim to demonstrate that our algorithms are statistically stable [45,46,50].…”

Section: Statistical Stabilitymentioning

confidence: 99%

Energy Consumption and Price Forecasting Through Data-Driven Analysis Methods: A Review

Patel

Shah

2021

SN COMPUT. SCI.

Self Cite

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Prediction of energy consumption and price is crucial in formatting policies related to the global energy market, demand, and supply. Data-driven analysis methods are giving rise to innovations in the world energy sector, including energy finance and economics. This paper has critically evaluated expand writings committed to Energy finance and economics applications of data-driven analysis. This paper comes up with an extensive view of state of the art in the area, which is already discussed with a different procedure. This review recognizes the applications of data-driven analysis methods in various areas such as forecasting domestic, nationwide, and transport energy consumption and price forecasting of multiple commodities, including crude oil, natural gas, and electricity. We have investigated certain research papers and given conclusion based on their researched and proposed model's prediction results and accuracies in respective areas. Our study suggests that Artificial Neural Network (ANN), Support Vector Machine (SVM), and other proposed neural network models are the most effective methods among other statistical and machine learning methods.

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“…Augmented reality (AR) and artificial intelligence (AI) have already grown into our daily lives, as we are used to playing AR games on our mobile phones and AI assists in facial recognition for serious or fun applications [ 141 ]. It is therefore just a matter of time, when AR and AI will be implemented into minimally invasive surgical procedures [ 142 ]. Three dimensional computer assisted laparoscopy or robotic surgery is an excellent platform for combining data from medical imaging, such as preoperative CT scans or intraoperative ultrasound, with the actual surgical field displayed to the surgeon in terms of augmented reality thereby displaying subsurface structures not visible to conventional laparoscopy [ 143 , 144 ].…”

Section: Reviewmentioning

confidence: 99%

Advances and Trends in Pediatric Minimally Invasive Surgery

Meinzer

Alkatout

Krebs

et al. 2020

JCM

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As many meta-analyses comparing pediatric minimally invasive to open surgery can be found in the literature, the aim of this review is to summarize the current state of minimally invasive pediatric surgery and specifically focus on the trends and developments which we expect in the upcoming years. Print and electronic databases were systematically searched for specific keywords, and cross-link searches with references found in the literature were added. Full-text articles were obtained, and eligibility criteria were applied independently. Pediatric minimally invasive surgery is a wide field, ranging from minimally invasive fetal surgery over microlaparoscopy in newborns to robotic surgery in adolescents. New techniques and devices, like natural orifice transluminal endoscopic surgery (NOTES), single-incision and endoscopic surgery, as well as the artificial uterus as a backup for surgery in preterm fetuses, all contribute to the development of less invasive procedures for children. In spite of all promising technical developments which will definitely change the way pediatric surgeons will perform minimally invasive procedures in the upcoming years, one must bear in mind that only hard data of prospective randomized controlled and double-blind trials can validate whether these techniques and devices really improve the surgical outcome of our patients.

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Systematic review and meta-analysis of augmented reality in medicine, retail, and games

Cited by 117 publications

References 77 publications

Augmenting Surgery: Medical Students’ Assessment and Ergonomics of 3D Holograms vs. CT Scans for Pre-Operative Planning

Augmenting Surgery: Medical Students’ Assessment and Ergonomics of 3D Holograms vs. CT Scans for Pre-Operative Planning

Energy Consumption and Price Forecasting Through Data-Driven Analysis Methods: A Review

Advances and Trends in Pediatric Minimally Invasive Surgery

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