Development and Deployment of a Machine Learning Model to Triage the Use of Prostate <scp>MRI</scp> ( <scp>ProMT</scp> ‐ <scp>ML</scp> ) in Patients With Suspected Prostate Cancer

Authors

Rajesh Ranganath (ORCID: https://orcid.org/0000-0003-2854-3376)
Madhur Nayan (ORCID: https://orcid.org/0000-0001-7502-3475)
Angela Tong (ORCID: https://orcid.org/0000-0002-4733-3414)
Samir S. Taneja (ORCID: https://orcid.org/0000-0003-0887-8259)
Hersh Chandarana (ORCID: https://orcid.org/0000-0002-6807-4589)
Jesse Persily (ORCID: https://orcid.org/0000-0002-6358-3333)

Institutions

New York City Health and Hospitals Corporation (US)
Courant Institute of Mathematical Sciences (US)
Bellevue Hospital Center (US)
New York University (US)

Publication Details

Journal: Journal of Magnetic Resonance Imaging
Published: 2025-11-04
DOI: https://doi.org/10.1002/jmri.70162
Citations: 2
Primary Topic: Prostate Cancer Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 3.04

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article

Development and Deployment of a Machine Learning Model to Triage the Use of Prostate MRI ( ProMT ‐ ML ) in Patients With Suspected Prostate Cancer

Rajesh Ranganath, Madhur Nayan, Angela Tong, Samir S. Taneja et al.

Nov 4, 2025

2 citations

Journal of Magnetic Resonance Imaging

Prostate Cancer Diagnosis and Treatment

3.04

article

Development and Deployment of a Machine Learning Model to Triage the Use of Prostate MRI ( ProMT ‐ ML ) in Patients With Suspected Prostate Cancer

Rajesh Ranganath, Madhur Nayan, Angela Tong, Samir S. Taneja, Hersh Chandarana, Jesse Persily

November 4, 2025article en

2 citations

Abstract

No abstract available for this paper.

Journal of Magnetic Resonance ImagingVol. 63(3)

New York City Health and Hospitals Corporation (US), Courant Institute of Mathematical Sciences (US), Bellevue Hospital Center (US), New York University (US)

Openalex Percentile: Top 7%

Prostate Cancer Diagnosis and Treatment

3.04

DOI Open Access PDF OpenAlex

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