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Author

A. Khanna

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Review Oct 2026

Feasibility of AI-based Automated Identification of Sacral Anatomy and Lead Features During Sacral Neuromodulation Procedures.

OBJECTIVE To evaluate the ability of artificial intelligence-based modeling to identify pertinent sacral anatomy and lead characteristics on fluoroscopic imaging. METHODS An expert practitioner manually reviewed and segmented image pairs from sacral neuromodulation device placements between November 2017 and August 2...

Nicholas R. Hugenberg, A. Khanna, Brian J. Linder · 0 citations
Open access Sep 2026

NCCN Risk Groups Do Not Predict Adverse Pathology or Oncologic Outcomes Among Patients With Grade Group 1 Prostate Cancer in the MRI Era.

BACKGROUND Prior studies in the pre-MRI era suggest that patients with NCCN Intermediate and High Risk Grade Group 1 prostate cancer (GG1 PCa) on biopsy have increased risk for adverse oncologic outcomes. However, prostate MRI has altered patient selection for biopsy and improved prostate sampling. Herein, we examined...

Eric V. Li, Tae-Hee Kim, Michael K. Wang et al. · 0 citations
Review 2026

Artificial intelligence in prostate cancer diagnosis and management: state-of-the-art approaches and emerging innovations.

This review summarizes the current state of AI applications in the diagnosis, risk stratification, and treatment of prostate cancer, highlighting recent advances and emerging opportunities in this ever-changing field.

Matthew S Lee, Chloe Shi, Tae-Hee Kim et al. · 0 citations

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