The benefits of AI in resident education How it boosts and helps standardise training programmes
University and Sheikh Khalifa Medical City in the United Arab Emirates. This is a first project of its kind supported by the ESUT across different geographical regions. Such collaboration and support from international organisations can accelerate progress in this field.
increasingly important role in urologic technology training and other areas of medical education.
programmes. AI algorithms can analyse large amounts of data, identify patterns and trends whilst performing a procedure, and provide personalised constructive feedback to residents and fellows. This can help trainees develop their skills more quickly and effectively by evaluating their performance. AI could enhance the modular training concept as well by evaluating specific steps in a procedure where trainees need more focus and extra guidance. Secondly, AI technology can objectively evaluate residents’ skills and knowledge. Traditional methods of evaluating residents’ performance are often subjective and can be influenced by various biases. On the other hand, AI algorithms can provide an objective and standardised evaluation of residents’ performance, which can help identify areas where additional training is needed. Thirdly, AI technology can provide virtual simulations to help residents practise various procedures and develop their skills in a safe and controlled environment. This can reduce the risk of complications and errors during surgical procedures, which is especially important for complex urologic procedures. Finally, using AI in urologic technology training can also help standardise training across different institutions. This can ensure that all urology residents receive high-quality training regardless of where they train. Notably, there have been some promising developments in the use of AI for urolithiasis management, such as predictive models for stone recurrence and image recognition technology for stone identification. Additionally, AI has shown the potential to enhance medical education through personalised learning and adaptive assessments. As AI technology advances, it will likely play an
Prof. Kamran Ahmed Sheikh Khalifa Medical City & Khaifa University, Abu Dhabi (AE) King’s College London (GB)
The EAU Section of Uro-Technology (ESUT) and King’s College London have been collaborating with the input from relevant teams from Khalifa
kahmed198@ yahoo.co.uk
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Dr. Atinc Tozsin Trakya University
School of Medicine Urology Department, Edirne (TR)
atinctozsin@ gmail.com
Artificial intelligence (AI) in medical education and training has become increasingly popular in recent years. One field that has seen significant benefits from using AI technology is urologic technology training for residents. Urology is a complex field that requires extensive training and expertise. Traditionally, this training has been done through a combination of didactic lectures, clinical rotations, and surgical observation. However, using AI in urologic technology training can provide several advantages over traditional training methods.
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Firstly, AI technology can enhance the effectiveness and efficiency of training
EAU Section of Uro-Technology (ESUT)
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European Urology Today June/July 2023
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