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: 3122
Function: getPubMedXML
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
Robotic joint surgery (RJS) has demonstrated high precision and reproducibility in total hip and knee arthroplasty,the integration of artificial intelligence(AI) has further enhanced the intelligence level of key processes,including surgical planning,registration,surgical manipulator control,and robot autonomy. AI-powered surgical planning improves implant positioning accuracy through deep learning,while AI-powered registration overcomes the limitations of traditional methods in precision and efficiency. Additionally,reinforcement learning and neural networks have optimized surgical manipulator control,improving operational accuracy and human-robot interaction. As AI continues to advance,RJS is expected to make significant strides in automation,multimodal sensing,and human-robot collaboration,driving arthroplasty surgeries toward higher levels of intelligence and individual treatment.
Download full-text PDF |
Source |
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http://dx.doi.org/10.3760/cma.j.cn112139-20240922-00437 | DOI Listing |
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