Use of artificial intelligence in discerning the need for prostate biopsy and readiness for clinical practice: a systematic review protocol.

Martinez-Marroquin, Elisa; Chau, Minh; Turner, Murray; Haxhimolla, Hodo; Paterson, Catherine

Abstract

Variability and inaccuracies in the diagnosis of prostate cancer, and the risk of complications from invasive tests, have been extensively reported in the research literature. To address this, the use of artificial intelligence (AI) has been attracting increased interest in recent years to improve the diagnostic accuracy and objectivity. Although AI literature has reported promising results, further research is needed on the identification of evidence gaps that limit the potential adoption in prostate cancer screening practice. A systematic electronic search strategy will be used to identify peer-reviewed articles published from inception to the date of searches and indexed in CINAHL, IEEE Xplore, MEDLINE, Scopus, and Web of Science Core Collection databases. Registries including Cochrane Central Register of Controlled Trials, ClinicalTrials.gov and International Clinical Trials Registry Platform (ICTRP) will be searched for unpublished studies, and experts were invited to provide suitable references. The research and reporting will be based on Cochrane recommendations and PRISMA guidelines, respectively. The screening and quality assessment of the articles will be conducted by two of the authors independently, and conflicts will be resolved by a third author. This systematic review will summarise the use of AI techniques to predict the need for prostate biopsy based on clinical and demographic indicators, including its diagnostic accuracy and readiness for adoption in clinical practice. Systematic review registration: PROSPERO CRD42022336540

Citation

MARTINEZ-MARROQUIN, E., CHAU, M., TURNER, M., HAXHIMOLLA, H. and PATERSON, C. 2023. Use of artificial intelligence in discerning the need for prostate biopsy and readiness for clinical practice: a systematic review protocol. Systematic reviews [online], 12, article number 126. Available from: https://doi.org/10.1186/s13643-023-02282-6

• Journal Article Type: Review
• Acceptance Date: Jun 25, 2023
• Online Publication Date: Jul 17, 2023
• Publication Date: Dec 31, 2023
• Deposit Date: Jul 27, 2023
• Publicly Available Date: Jul 27, 2023
• Journal: Systematic reviews
• Electronic ISSN: 2046-4053
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Article Number: 126
• DOI: https://doi.org/10.1186/s13643-023-02282-6
• Keywords: Systematic review protocol, Prostate cancer, Diagnostic pathway, AI adoption readiness, Technology maturity level, Artificial intelligence, Diagnosis
• Public URL: https://rgu-repository.worktribe.com/output/2018806