BANU's 2nd Medical Student Symposium was held.

The 2nd BANU Medical Student Symposium, organized by our Faculty, was successfully held in the Nazım Hikmet Conference Hall with the main theme of “Artificial Intelligence in Medicine: Prevention, Diagnosis, Treatment and Ethical Dimensions.”

The opening program began with the National Anthem and a moment of silence, followed by a presentation video of our Faculty and protocol speeches. Throughout the day, scientific sessions addressed the applications of artificial intelligence in medicine under multifaceted headings such as clinical diagnosis, imaging, decision support systems, patient prognosis, surgical applications, basic medical sciences, personalized treatment, rehabilitation, and ethical-legal responsibilities.

The symposium included sessions titled “Artificial Intelligence in Clinical Diagnosis: Imaging and Decision Making”, “Patient-Specific Clinical Decision Making and Prognosis with AI”, “AI-Assisted Surgery”, “AI and Basic Medicine”, “AI and Advanced Clinical Applications”, and “The Multifaceted Dimension of AI: Multidisciplinary Rehabilitation and Ethical Responsibilities”. Academicians, researchers, and students from various clinical and basic science fields presented their current scientific studies in these sessions.

The symposium also featured oral presentation sessions with contributions from students and researchers. These sessions showcased studies on the use of AI in diverse fields such as healthcare, medical imaging, telemedicine, decision support systems, disaster medicine, smoking cessation applications, osteoporosis, intensive care, rehabilitation, and occupational health. Thus, the symposium went beyond simply sharing theoretical knowledge and became an important academic platform showcasing the scientific output of young researchers.

The event provided an important scientific platform by demonstrating that artificial intelligence applications in medicine can contribute not only to diagnostic and treatment processes, but also to preventive healthcare, clinical decision support mechanisms, patient safety, ethical evaluations, and health management. Participants had the opportunity to evaluate the opportunities and limitations of artificial intelligence in the field of health from a multidisciplinary perspective.

The program concluded with the presentation of oral papers, scientific discussions, certificate awarding, and a closing photograph.