Guest Editor(s)
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- Prof. Timothy G. Wilson
Department of Urology and Urologic Oncology, Saint John's Cancer Institute (SJCI), Providence Saint John's Health Center (SJHC), Santa Monica, California, USA.
Website | E-mail
Special Issue Introduction
Over the past decade, advances in Artificial intelligence (AI), particularly in deep learning and artificial neural network, play an increasingly vital role in guiding clinical diagnosis and treatment. In urology surgery, AI has many advances in improving the diagnosis of pediatric urology, urogynecology, diagnosis and treatment of prostate, kidney, bladder cancers, benign prostate hyperplasia (BPH), renal transplant, and neuro-oncology. Multimodal 3D medical image "visualization" provides important auxiliary information for postoperative prediction, treatment plan optimization, and patient follow-up education. However, while the application of AI in urology has become a hot focus of modern technology and has many potential benefits, it still has obvious limitations compared to real-world medical decision-making. Therefore, it is vital to provide a reference for the application of AI in the precise, personalized diagnosis and treatment and long-term management of urology surgery in the future by exploring the current advantages and disadvantages of AI.
This special issue "Artificial Intelligence in Urology Surgery: Ready for the Future?" aims to widely spread up-to-date basic and clinical findings associated with artificial intelligence & urology surgery. The topics will be discussed but not limited to:
1. Deep Learning/Convolutional Neural Networks & Prostate Surgery
2. Robot-assisted & Prostate Surgery
3. Virtual Reality and Simulation & Urologic Surgery
4. Computer-assisted Surgery during Urological Interventions
5. Three-dimensional Model Technology & Personalised Urology Surgical Planning
6. Prognostic Model & Urologic Surgery
7. Artificial Intelligence & Urinary Calculi & Urethral Reconstruction
Submission Deadline
15 Feb 2023
Artificial Intelligence Surgery
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