Edwin Jonathan Aslim on Muck Rack

Edwin Jonathan Aslim

As seen in: Color Research & Application, Nature, MDPI
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Articles

Machine learning models to predict postoperative incontinence after endoscopic enucleation of the prostate for benign prostatic hyperplasia: An EAU-Endourology study | Prostate Cancer and Prostatic Diseases

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By Khi Yung Fong, Vineet Gauhar, Dmitry V. Enikeev, Jeremy Yuen-Chun Teoh, Daniele Castellani, Bhaskar Kumar Somani, Edwin Jonathan Aslim
| Nature Verified
Abstract Machine learning (ML) and artificial intelligence (AI) have demonstrated powerful functionality in the healthcare setting thus far. We aimed to construct an AI model to predict postoperative incontinence after enucleation surgery for benign prostatic hyperplasia (BPH). Data were taken from two BPH registries and split into training and validation datasets.
Open in Who Shared Issue with article?

Professor Foo Keong Tatt

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By Edwin Jonathan Aslim, Lay Guat Ng, Edwin Jonathan, Angie Beng Guek
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Defining prostate cancer size and treatment margin for focal therapy: does intra‐lesional heterogeneity impact the performance of multiparametric MRI?

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By Edwin Jonathan Aslim, Weber Kam, Lui Shiong Lee, Yan Mee Law
| Color Research & Application Verified
ORIGINAL ARTICLE Kae Jack Tay Corresponding Author tay.kae.jack@singhealth.com.sg Department of Urology, Singapore General Hospital, Singapore These authors contributed equally to the study Corresponding author Name: Dr Kae Jack, TAY, Address: Department of Urology, Singapore General Hospital, Level 5, The Academia, 20 College Road, Singapore 169856 Email: tay.kae.jack@singhealth.com.sg Search for more papers by this author This article has been accepted for publication and undergone full...
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