Barw Barw Medical Journal 2960-1959 2023 11 06 Artificial Intelligence in Medicine: A Comparative Study of ChatGPT and Google Bard in Clinical Diagnostics 10.58742/pry94q89 eng Aso S. Muhialdeen Smart Health Tower, Madam Mitterrand Street, Sulaimani, Kurdistan, Iraq. aso.muhialdeen@gmail.com Shorsh A. Mohammed Smart Health Tower, Madam Mitterrand Street, Sulaimani, Kurdistan, Iraq. shorsh.mohammed@gmail.com Nahida Hama Ameen Ahmed Sulaimani Maternity Teaching Hospital, Sulaimani Kurdistan, Iraq.. nahida.ahmed@gmail.com Shaho F. Ahmed Smart Health Tower, Madam Mitterrand Street, Sulaimani, Kurdistan, Iraq. shahomedi87@gmail.com Wriya N. Hassan Smart Health Tower, Madam Mitterrand Street, Sulaimani, Kurdistan, Iraq. wirya.sabr@gmail.com Hoshmand R. Asaad Gastroenterology and Hepatology Teaching Hospital, Sulaimani, Kurdistan, Iraq . hoshmand.asaad@gmail.com Dana T. Gharib Gastroenterology and Hepatology Teaching Hospital, Sulaimani, Kurdistan, Iraq . dana.gharib@gmail.com Huda M. Muhammad College of Medicine, University of Sulaimani, Madam Mitterrand Street, Sulaimani, Kurdistan, Iraq. huda.muhammed@univsul.edu.iq Shko H. Hassan Smart Health Tower, Madam Mitterrand Street, Sulaimani, Kurdistan, Iraq. shko.hassan98@gmail.com Karokh Fadhil Hama Hussein Gastroenterology and Hepatology Teaching Hospital, Sulaimani, Kurdistan, Iraq . karokh.hussein@gmail.com Hemin S. Mohammed Kscien Organization for Scientific Research (Middle East office), Hamid Str, Azadi Mall, Sulaimani, Kurdstan, Iraq. hemin.mohammed@gmail.com Abdulwahid M. Salih College of Medicine, University of Sulaimani, Madam Mitterrand Street, Sulaimani, Kurdistan, Iraq. abdulwahd.salih@gmail.com Fahmi H. kakamad College of Medicine, University of Sulaimani, Madam Mitterrand Street, Sulaimani, Kurdistan, Iraq. fahmi.hussein@univsul.edu.iq Muhammed Karim Kscien Organization for Scientific Research (Middle East office), Hamid Str, Azadi Mall, Sulaimani, Kurdistan, Iraq. muhammed.karim@gmail.com Fakher Abdullah Kscien Organization for Scientific Research (Middle East office), Hamid Str, Azadi Mall, Sulaimani, Kurdistan, Iraq. fakherabdullah1976@gmail.com Hemn A. Hassan Kscien Organization for Scientific Research (Middle East office), Hamid Str, Azadi Mall, Sulaimani, Kurdstan, Iraq . hemn.hassan@gmail.com Sasan M. Ahmed Kscien Organization for Scientific Research (Middle East office), Hamid Str, Azadi Mall, Sulaimani, Kurdstan, Iraq . sasan0751@gmail.com Suhaib H. Kakamad Kscien Organization for Scientific Research (Middle East office), Hamid Str, Azadi Mall, Sulaimani, Kurdstan, Iraq . suhaib.kakamad@gmail.com Marwan N. Hassan Kscien Organization for Scientific Research (Middle East office), Hamid Str, Azadi Mall, Sulaimani, Kurdstan, Iraq . marwan.nasih12@gmail.com Shvan H. Mohammed Kscien Organization for Scientific Research (Middle East office), Hamid Str, Azadi Mall, Sulaimani, Kurdstan, Iraq . shvanh80@gmail.com Berun A. Abdalla Kscien Organization for Scientific Research (Middle East office), Hamid Str, Azadi Mall, Sulaimani, Kurdstan, Iraq . berun.anwer95@gmail.com 2023 10 05 Abstract Introduction The introduction of Artificial Intelligence (AI) tools like ChatGPT and Google Bard promises transformative advances in clinical diagnostics. The aim of this study is to examine the ability of these two AI tools to diagnose various medical scenarios. Methods Experts from varied medical domains curated 20 case scenarios, each paired with its ideal diagnostic answer. Both AI systems, ChatGPT (updated in September 2021) and Google Bard (updated in January 2023), were tasked with diagnosing these cases. Their outcomes were recorded and subsequently assessed by human medical professionals. Results In the diagnostic evaluations, ChatGPT achieved an accuracy of 90%, correctly diagnosing 18 out of 20 cases, while Google Bard displayed an 80% accuracy rate, correctly answering 16 questions. Notably, both AIs faltered in specific complex scenarios. For instance, both systems misdiagnosed a labor situation, and while ChatGPT incorrectly identified a case of hypertrophic pyloric stenosis, Google Bard suggested a less suitable diagnostic procedure (pelvic ultrasound) for a 56-year-old patient. Conclusion This study showcases the promising capabilities of ChatGPT and Google Bard in the realm of clinical diagnostics, with both AI tools achieving commendable accuracy rates.