Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-03

Vaneeza Mukhtar

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Also affiliated: University of Arkansas Medical Center (2025)

1 h-index 5 pubs 8 cited

  • Aged
  • Algorithms
  • Artificial Intelligence
  • Humans
  • Image Interpretation, Computer-Assisted
  • Magnetic Resonance Imaging
  • Male
  • Middle Aged
  • Prostatic Neoplasms
  • Retrospective Studies
  • Carcinoma, Renal Cell
  • Heparin
  • Kidney Neoplasms
  • Nephrectomy
  • Vena Cava, Inferior

Biography and Research Information

OverviewAI-generated summary

Vaneeza Mukhtar's research focuses on the application of artificial intelligence (AI) and machine learning in medical imaging, particularly for the detection and prediction of prostate cancer. Her work involves the external validation of AI algorithms, comparing their performance against conventional methods like PI-RADS scoring and human radiologists. Mukhtar has investigated the integration of biparametric MRI with AI for improved diagnostic accuracy in prostate cancer detection. She also contributes to research on clinical outcomes following radical nephrectomy and IVC tumor thrombectomy in renal cell carcinoma, examining factors such as intraoperative heparin administration and long-term renal function. Her research network includes collaborators from the University of Arkansas for Medical Sciences, with whom she has co-authored multiple publications.

Metrics

  • h-index: 1
  • Publications: 5
  • Citations: 8

Selected Publications

  • Impact of intraoperative intravenous heparin bolus on clinical outcomes during radical nephrectomy and IVC tumor thrombectomy in renal cell carcinoma with level I–IV IVC thrombus: A multi-institutional study (2026)
    Urologic Oncology Seminars and Original Investigations DOI OpenAlex
  • External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection (2025)
    Academic Radiology 8 citations DOI OpenAlex

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Collaboration Network

22 Collaborators 4 Institutions 1 Country

Top Collaborators

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