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Presentation Date / Time
Submission Status
Submitted
Abstract
Abstract Title
Artificial Intelligence in Urology - A Survey of Urology Healthcare Providers
Presentation Type
Podium Abstract
Manuscript Type
Clinical Research
Abstract Category *
AI in Urology
Author's Information
Number of Authors (including submitting/presenting author) *
10
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
Australia
Co-author 1
Yam Ting Ho jeremy.yt.ho@gmail.com Nepean Urology Research Group Urology Kingswood Australia *
Co-author 2
Rizal Rian Dhalas dr.dhalas@gmail.com Dr. Soetomo Regional Public Hospital Urology Surabaya Indonesia
Co-author 3
Muhammad Zohair doctorzohair1@gmail.com Institute of Kidney Diseases Hayatabad Urology Peshawar Pakistan
Co-author 4
Subrata Deb dr.subrata27@gmail.com Sylhet MAG Osmani Medical College Hospital Urology Sylhet Bangladesh
Co-author 5
Mohammed Shoaib doctr.shoaib@gmail.com Peshawar Medical College Urology Peshawar Pakistan
Co-author 6
Sandra Elmer drsandraelmer@gmail.com Royal Melbourne Hospital Urology Melbourne Australia
Co-author 7
Tauheed Fareed tauheedfareed786@hotmail.com Peshawar Institute of Medical Sciences/ Pak International Medical College Urology Peshawar Pakistan
Co-author 8
Agus Rizal Ardy Hariandy Hamid rizalhamid.urology@gmail.com Cipto Mangunkusumo Hospital Urology Jakarta Indonesia
Co-author 9
Jeremy YC Teoh jeremyteoh@surgery.cuhk.edu.hk Prince of Wales Hospital, The Chinese University of Hong Kong Surgery and Urology Hong Kong Hong Kong, China
Co-author 10
Issac A Thangasamy ithangasamy@gmail.com Nepean Urology Research Group Urology Kingswood Australia
Co-author 11
Co-author 12
Co-author 13
Co-author 14
Co-author 15
Co-author 16
Co-author 17
Co-author 18
Co-author 19
Co-author 20
Abstract Content
Introduction
To examine the attitude & beliefs about Artificial intelligence (AI) technology amongst urology health care providers. AI has many uses in medicine including but not limited to diagnostics, predicting clinical outcomes, and patient education. AI has been utilised in urological conditions such as urolithiasis, urogynaecology, and uro-oncology.
Materials and Methods
A structured online questionnaire, created from a modified Delphi method with a panel of urologists and urology surgical trainees, was delivered through the Urological Asia Association’s annual congress. The questionnaire, with 25 items of mixed type responses (five-point Likert scale, nominal polytomous and open-ended), acquired data regarding demographics, current and perceived AI usage, attitude/belief towards AI usage in urology, and perceived enablers & barriers with AI use.
Results
464 respondents from 47 different countries over six continents were collected. 80% of participants have used AI in their practice and commonly used in research, patient education, and administrative tasks. More than 75% participants are positive towards AI and believe it will improve urological care and many believe AI adoption will not replace clinical practice. 86.2% of participants are willing to adopt AI in future clinical practice and identified the key enablers as regulatory approval, AI clinical effectiveness, and access to AI training.
Conclusions
Overall attitudes and beliefs toward the use of AI in urology is positive as participants see value in improving urological care. Nevertheless, further AI training and education, and regulatory reform are required to realise the full potential of AI in mainstream urology practice.
Keywords
Artificial Intelligence, Urological care, Urological procedures
Figure 1
https://storage.unitedwebnetwork.com/files/1237/b8b4948dcf57263f998df01d6cefd11c.jpg
Figure 1 Caption
Table 1. Demographic details of respondents
Figure 2
https://storage.unitedwebnetwork.com/files/1237/8c0da2f3aa9c4ff806946bee4f1e3fc3.jpg
Figure 2 Caption
Table 2. Tabulated breakdown of responses for the question “Willingness to use AI in future practise”, organised by age group and occupation, presented as n (%)
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Character Count
1380
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