Prostate cancer detection: assessing artificial intelligence (AI) software скачать в хорошем качестве

Prostate cancer detection: assessing artificial intelligence (AI) software

Do you want to know how to assess the performance and features of Artificial Intelligence Software for Prostate Cancer Detection? Learning Objectives: To realize how the limitations of the MRI pathway may be addressed using computer-aided detection (CAD) software To know the diagnostic performance characteristics necessary for AI software to deliver a successful MRI based prostate cancer diagnosis pathway To understand the performance distinction between a radiologist’s diagnostic aid (for primary reading) and an expert (second opinion) deep-learning (DL) system To know of other tasks needing CAD software to influence biopsies (and for therapy planning) Key reference: Penzkofer T, Padhani AR, Turkbey B, Ahmed HU. Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI. Eur Radiol. 2022 Apr;32(4):2221-2223. doi: 10.1007/s00330-022-08609-6. Epub 2022 Feb 23. PMID: 35195746. Turkbey B, Haider MA. Artificial Intelligence (AI) for Automated Cancer Detection on Prostate MRI: Opportunities and Ongoing Challenges. AJR 2021 Dec 8 [epub] Penzkofer T, Padhani AR, Turkbey B, Ahmed HU. Assessing the clinical performance of AI software for prostate cancer detection on MRI. Eur Radiol. 2022 Apr;32(4):2221-2223.