Barw Barw Medical Journal 2960-1959 2024 08 02 Role of ChatGPT and Gemini in the Urology Field: A Case-Based Study 10.58742/bmj.v2i3.116 eng Rawa Bapir Department of Urology, Sulaimani Surgical Teaching Hospital, Sulaymaniyah, Iraq . rawa.ali@gmail.com Ahmed Mohammed Abdalqadir Department of Urology, Sulaimani Surgical Teaching Hospital, Sulaymaniyah, Iraq . ahmed.abdalqadir@gmail.com Kamran Hassan Bhatti Urology Department, Hamad Medical Corporation, Al Khor Hospital, Qatar. kamibhatti92@gmail.com Nadeem Sohail Urology Department, Hamad Medical Corporation, Al Khor Hospital, Qatar. nadeem.Sohail@gmail.com Bryar Othman Muhammed Smart Health Tower (Raparin Branch), Karux Street, Rania, Iraq. bryar.muhammed@gmail.com Ameer M. Salih Civil Engineering Department, College of Engineering, University of Sulaimani, Sulaymaniyah, Iraq. ameer.salih@univsul.edu.iq Hunzalah Hassan Bhatti College of Engineering, Department of Computer Science, University of Qatar, Doha, Qatar. Hunzalah.bhatti@gmail.com Hawbash Rahim Department of Medical Laboratory Science, College of Health Sciences, University of Human Development, Sulaimani, Iraq. hawbash.kurdish@yahoo.com Jihad Ibrahim Hama Research Center, University of Halabja, Halabja, Iraq. jihad.hama@gmail.com Hemin S. Mohammed Smart Health Tower, Madam Mitterrand Street, Sulaymaniyah, Iraq. hemn.ali@gmail.com Muhammed Bag A. Ali Smart Health Tower (Raparin Branch), Karux Street, Rania, Iraq. muhammed.ali@gmail.com Sabah Jalal Hasan Smart Health Tower, Madam Mitterrand, Sulaymaniyah, Iraq. sabah.jalal@gmail.com Ismaeel Aghaways College of Medicine, University of Sulaimani, Madam Mitterrand Street, Sulaymaniyah, Iraq. ismael.abdullah@gmail.com Yousif M. Mahmood Smart Health Tower, Madam Mitterrand Street, Sulaymaniyah, Iraq. yousuf.smarthealth@gmail.com Hussein M. Hamasalih Smart Health Tower, Madam Mitterrand Street, Sulaymaniyah, Iraq. hussein.hama@gmail.com 2024 07 07 Introduction The healthcare sector is witnessing a transformation with the advent of artificial intelligence (AI), exemplified by ChatGPT and Gemini AI. These AI systems emulate human conversation and provide accurate medical responses. This study explores their integration into medical decision-making in the urology field. Methods The study presented a collection of 20 medical case scenarios, carefully crafted and revised by a team of authors in the field of urology. Each case was presented to ChatGPT and Gemini in September of 2023, and their responses were recorded and analyzed. Results Both AI tools displayed varying accuracy in diagnoses and management recommendations. ChatGPT failed in identifying congenital penile curvature, while Gemini succeeded. Conversely, ChatGPT excelled in recommending a management plan for renal artery aneurysms. Gemini outperformed in explaining iodinated contrast material toxicity. Both struggled with a bladder prolapse prevention question. Conclusion AI integration in urology is promising but has limitations. AI provides valuable insights but cannot replace human expertise. Research is vital to improve AI's role in urology. Clinicians should view AI suggestions as supplements to their judgment, fostering collaborative healthcare decisions.