首页|King's College London Reports Findings in Artificial Intelligence (The application and use of artificial intelligence in cancer nursing: A systematic review)
King's College London Reports Findings in Artificial Intelligence (The application and use of artificial intelligence in cancer nursing: A systematic review)
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2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news originating from London, United Kingdom, by NewsRx correspondents, research stated, “Artificial Intel- ligence is being applied in oncology to improve patient and service outcomes. Yet, there is a limited understanding of how these advanced computational techniques are employed in cancer nursing to inform clinical practice.” Our news journalists obtained a quote from the research from King’s College London, “This review aimed to identify and synthesise evidence on artificial intelligence in cancer nursing. CINAHL, MEDLINE, PsycINFO, and PubMed were searched using key terms between January 2010 and December 2022. Titles, abstracts, and then full texts were screened against eligibility criteria, resulting in twenty studies being included. Critical appraisal was undertaken, and relevant data extracted and analysed. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. Artificial intelligence was used in numerous areas including breast, colorectal, liver, and ovarian cancer care among others. Algorithms were trained and tested on primary and secondary datasets to build predictive models of health problems related to cancer. Studies reported this led to improvements in the accuracy of predicting health outcomes or identifying variables that improved outcome prediction. While nurses led most studies, few deployed an artificial intelligence based digital tool with cancer nurses in a real-world setting as studies largely focused on developing and validating predictive models. Electronic cancer nursing datasets should be established to enable artificial intelligence techniques to be tested and if effective implemented in digital prediction and other AI-based tools.”
LondonUnited KingdomEuropeArtificial IntelligenceCancerEmerging TechnologiesHealth and MedicineMachine LearningOncology
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