Page 79 - Read Online
P. 79
McGivern et al. Art Int Surg 2023;3:27-47 https://dx.doi.org/10.20517/ais.2022.39 Page 37
Fusaglia et al. [82] 2016 Switzerland L CV Present a novel LRS-based IGS Description of Laparoscopic
system for laparoscopic liver experiment surgery images
procedures
[83]
Ntourakis et al. 2016 France L CV Investigate the potential of AR- Prospective pilot CT/MRI images
based navigation to help locate study
and resect colorectal liver
metastases
Mastmeyer et al. [84] 2017 Germany L ML Compare axial force errors of Description of US/CT images
simulated needle insertion for experiment
liver biopsy
[85]
Sauer et al. 2017 Germany L CV Evaluates the application of a Case study CT images
mixed reality head-mounted
display for the visualization of
anatomical structures during liver
surgery
[86]
Cai et al. 2017 China L CV Report experience of using a 3d Case series CT images
visualization system during
hepatic resection
Miyamoto et al. [87] 2017 Japan P CV 3d planning - compared the Retrospective CT images
pancreatic duct diameter and study
location with the intraoperative
findings
Hu et al.[88] 2018 China L CV Assess the use of 3d planning for Retrospective CT images
specific hepatectomy study
Mise et al. [89] 2018 Japan L CV Assess how virtual hepatectomy Retrospective CT images
conducted using surgical study
planning software influences the
outcomes of liver surgery
[90]
Mascagani et al. 2019 Italy G DL Develop and test a method for Pilot study Laparoscopic
France consistent critical view of safety surgery images
evaluation and reporting in
videos which could be developed
into the deep learning model
Teatini et al. [91] 2019 Norway L ML Test if intraoperative imaging is Description of CT images
necessary for accurate surgical experiment
navigation for laparoscopic liver
resection
[92]
Ho et al. 2020 New L CV Describe the computational Description of CT/US/MRI
Zealand pipeline that integrates into silico experiment images
liver models and algorithms to
aid surgical planning for liver
resection
Prevost et al. [93] 2020 Switzerland L CV Evaluate the technical feasibility Pilot study CT/MRI images
and the clinical impact of a new
augmented reality system for
laparoscopic liver surgery
Sandal et al. [94] 2021 Turkey G ML Determine the usefulness of Case series Patient factors
fuzzy logic algorithm to evaluate
risk in patients undergoing
laparoscopic cholecystectomy
Cervantes-Sanchez 2021 Mexico L/G ML/DL Machine/deep learning methods Description of Hyperspectral
[95]
et al. Germany are combined with HSI-goal is experiment and images
the automatic discrimination case series
using HSI of the bile duct from
the gallbladder and liver
Tokuyasu et al. [96] 2021 Japan G DL/CV Develop a system that outlines Description of Laparoscopic
laparoscopic cholecystectomy experiment and surgery images
landmarks on endoscopic images case report
in real time
Guzman-Garcia 2021 Spain G NLP/DL Assess if analysis of surgeons’ Description of Audio
[97]
et al. speech using natural language experiment transcripts of
processing provide deeper insight surgical videos
into the surgical decision-making
processes during laparoscopic
cholecystectomy
[98]
Imler et al. 2021 USA G NLP/ML Demonstrate the feasibility of Retrospective ERCP procedure
using NLP to measure adherence study reports