Masoom A. Haider

Federated learning for predicting clinical outcomes in patients with COVID-19

2021 · 665 Zit. · Nature Medicine

Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century

2020 · 95 Zit. · British Journal of Radiology

Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework

2021 · 60 Zit. · European Urology Focus

Federated Learning used for predicting outcomes in SARS-COV-2 patients

2021 · 44 Zit. · Research Square

Creating patient-centered radiology reports to empower patients undergoing prostate magnetic resonance imaging

2020 · 18 Zit. · Canadian Urological Association Journal

Exploring the value of using patient-oriented MRI reports in clinical practice — a pilot study

2022 · 4 Zit. · Supportive Care in Cancer

Using AI to triage patients without clinically significant prostate cancer using biparametric MRI and PSA

2025 · 2 Zit. · Abdominal Radiology

Training With Local Data Remains Important for Deep Learning MRI Prostate Cancer Detection

2025 · 1 Zit. · Canadian Association of Radiologists Journal

Reply to Masatomo Kaneko, Vasileios Magoulianitis, Vinay Duddalwar, et al's Letter to the Editor re: Baris Turkbey, Henkjan Huisman, Andriy Fedorov, et al. Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-naive Men: PI-RADS Steering Committee, Version 1.0. Radiology 2025;315:e240140.

2025 · 0 Zit. · PubMed

MP16-10 EXPLORING THE VALUE OF USING PATIENT-ORIENTED MRI REPORTS IN CLINICAL PRACTICE

2022 · 0 Zit. · The Journal of Urology