Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Technology have helped surgeons to increase MILS feasibility, so that currently liver surgery evolution is strongly based on technological advances and the same trend is expected even further soon. Aim of the present technical report is to provide insights regarding the possible interplay between 3D reconstructions based on augmented reality and intraoperative navigation by indocyanine green fluorescence. Augmented reality methods based on reconstructions created through artificial intelligence interact synergistically. The better the understanding of the anatomy and characteristics of the lesion, the more accurate the preoperative planning may be scheduled. On the other hand, the better the intraoperative navigation, the more reproducible the preoperative planning becomes.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1007/s13304-024-01857-9 | DOI Listing |
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