Vaneeza Mukhtar
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Researcher
Unknown Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Vaneeza Mukhtar's research focuses on the application of artificial intelligence (AI) algorithms for prostate cancer detection, particularly in the context of magnetic resonance imaging (MRI). Her work involves the external validation of these AI algorithms and their comparison with traditional radiologist interpretations using the PI-RADS scoring system. She has investigated the integration of biparametric MRI and AI for improved prostate cancer prediction, aiming to enhance diagnostic accuracy at the point of prostate biopsy. Mukhtar collaborates with researchers at the University of Arkansas for Medical Sciences, including Roopa Ram, Neriman Gökden, Jackson W. Massey, and Mason J. Belue, with whom she shares multiple publications. Her scholarship metrics include an h-index of 1, with 5 total publications and 5 total citations.
Metrics
- h-index: 1
- Publications: 5
- Citations: 7
Selected Publications
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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)
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External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection (2025)
Collaboration Network
Top Collaborators
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
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