Is Artificial Intelligence Replacing Our Radiology Stars in Prostate Magnetic Resonance Imaging? The Stars Do Not Look Big, But They Can Look Brighter

• Francesco Giganti,
• Valeria Panebianco,
• Clare M. Tempany,
• Andrei S. Purysko

Affiliations

Francesco Giganti

Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK; Division of Surgery & Interventional Science, University College London, London, UK; Corresponding author. Division of Surgery and Interventional Science, University College London, Charles Bell House, 43–45 Foley Street, London W1W 7TY, UK.

Valeria Panebianco

Department of Radiological Sciences, Oncology and Pathology, Sapienza University/Policlinico Umberto I, Rome, Italy

Clare M. Tempany

Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

Andrei S. Purysko

Abdominal Imaging Section and Nuclear Radiology Department, Imaging Institute, Cleveland Clinic, Cleveland, OH, USA; Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH, USA