Artificial Intelligence in Medical Sciences 

Artificial intelligence (AI) is revolutionizing the field of medicine by enabling computers and technology to simulate human-like intelligent behavior. In healthcare, AI utilizes machine learning models to analyze medical data, identify patterns, and facilitate better health outcomes and patient experiences. With recent advancements in computer science, AI has become an integral part of modern healthcare, supporting medical professionals in clinical settings and health research. Its applications range from clinical decision support systems to data mining, personalized treatment, medical imaging analysis, and macro-level management based on collected data. For prognosis, diagnosis and personalization of treatment, assisting in the design process. Medicine and treatment optimization, analysis of medical images, vital signals and patient-specific data, development of intelligent systems to support macro-level management based on collected data. AI also addresses challenges such as providing healthcare services in remote areas and improving the overall quality and quantity of healthcare. Clinical decision support tools assist healthcare providers in making decisions regarding treatments, medications, mental health, and other patient needs by offering quick access to relevant patient information or research. In the field of medical imaging, artificial intelligence tools are employed to analyze CT scan images, radiology images, MRI scans, and other images to identify lesions or other findings that might be overlooked by radiologists. It is undeniable that AI will increasingly become an integral component of digital health systems, thereby shaping and supporting modern medicine. As AI continues to shape and support modern medicine, it is evident that it will become a crucial component of digital health systems.