Author

M. Elhaie

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Open access Aug 2026

Comparative evaluation of feature-selection strategies for machine learning-based histological grading of breast cancer using tumor and fibroglandular-tissue DCE-MRI features.

BACKGROUND Nottingham histological grading is central to breast cancer prognosis and treatment planning, but conventional pathological assessment is labor-intensive and subject to inter-observer variability. Radiomics and machine learning may support noninvasive preoperative grade prediction. OBJECTIVE To compare mut...

M. S. Taheri, M. Elhaie, Z. Mahboubi-Fooladi et al. · Cancer Treatment and Researc... · 0 citations

#artificial intelligence Review Open access Sep 2026

Diagnostic accuracy of AI-augmented renal ultrasound for degenerative kidney disorders: a systematic review and meta-analysis

Abstract Introduction This systematic review and meta-analysis evaluated artificial intelligence (AI) and radiomics applied to renal ultrasound for the diagnosis, staging, and prognosis of degenerative kidney disorders. Methods PubMed/MEDLINE, Embase, Scopus, Web of Science, the Cochrane Library, and gray-literature so...

M. Elhaie, Abolfazl Koozari, Amirsaman Soleimani Nasab et al. · Future Science OA · 0 citations