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
Lung cancer is responsible for one in five cancer-related deaths. Screening for lung cancer using low-dose chest CT (LDCT) is supported by several international studies targeting the at-risk population as part of an organised programme. Given the organisational challenges for the healthcare systems of the countries concerned, this involves setting up pilot screening projects. This requires close collaboration between the players involved, with a multidisciplinary approach structured around the participant, aiming to offer the expertise of the pulmonologist and the radiologist on the LDCT performed, interpreted with the help of artificial intelligence. Here we set out the elements needed to develop a screening programme, starting with the implementation of a pilot project.
Download full-text PDF |
Source |
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http://dx.doi.org/10.53738/REVMED.2023.19.850.2165 | DOI Listing |
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