Prof. Dr. H. Seval AKGÜN, MD, PhDs, Msc, CPHAA   CONGRESS CHAIR President of the Health Academicians Association /TÜRKİYE	Assoc. Prof. Dr. Ferhat Devrim ZENGÜL, CONGRESS CO-CHAIR The UnIversIty of Alabama at Birmingham /USA	Assoc. Prof. Dr. Bünyamin ÖZAYDIN, PhD, SCIENTIFIC COMMITTEE CHAIR The UnIversIty of Alabama at Birmingham /USA	Assoc. Prof. Dr. Ali ARSLANOĞLU, VICE PRESIDENT UnIversIty of Helath Sciences /TÜRKİYE

In the scope of human life, health undoubtedly stands as one of the most important topics. The rapid progress in the health sector is significantly supported by technological innovations. In this context, it is unimaginable for healthcare institutions providing diagnostic and treatment services to stay distant from technological advancements.

Artificial Intelligence (AI) is a field of computer science that aims to simulate human intelligence by mimicking human thoughts and reactions, utilizing algorithms, heuristic scanning, pattern matching, rule-based processes, deep learning, and cognitive operations to achieve desired outcomes. In healthcare services, AI is a broad term used to define machine learning algorithms and software designed to mimic human cognition in the analysis of complex medical and healthcare data. AI applications in healthcare, developed within the scope of digitalization, are used to support diagnosis, treatment, and predictions in various medical situations by identifying meaningful relationships in raw data. These applications span from disease diagnosis to patient evaluation, treatment method determination, clinical decision-making, and health maintenance.

AI algorithms can also analyze large amounts of data through electronic health records for disease prevention and diagnosis. In recent years, there have been numerous examples of AI applications in healthcare. Here are some examples:

1.   Diagnosis and Detection: AI can be used in the diagnosis and detection of diseases. For example, using deep learning algorithms, tumors can be detected and classified in cancer screenings.

2.   Radiology: AI can be used in the analysis of radiology images. It can analyze data obtained from imaging techniques like computed tomography (CT) or magnetic resonance imaging (MRI) to detect abnormal regions.

3.   Drug Development: AI can be utilized in the drug development process. AI algorithms can help discover new drug candidates by analyzing the results of tests conducted on existing drugs.

4.   Hospital Management: AI can be applied in hospital management processes. For instance, AI algorithms can be used in appointment scheduling, resource management, and hospital staff optimization.