This review provides a comprehensive overview of the current research on the integration of artificial intelligence (AI) into clinical practice. AI has significantly transformed medicine and healthcare by offering innovative solutions to complex problems. One of the key benefits of AI in clinical practice is its ability to efficiently and accurately analyze large volumes of data, leading to the development of applications that improve patient outcomes and reduce the workload of healthcare professionals. AI supports doctors in making more accurate diagnoses and developing personalized treatment plans. Examples of successful AI applications are presented across various medical specialties, including cardiology, surgery, gastroenterology, pneumology, nephrology, urology, dermatology, orthopedics, neurology, gynecology, ophthalmology, pediatrics, hematology, and critically ill patients, as well as diagnostic methods. Special attention is given to legal and ethical considerations such as accuracy, informed consent, privacy, data security, regulatory frameworks, product liability, explainability, and transparency. The review critically evaluates the use of AI in clinical practice and its future potential. However, it is important to approach the development and implementation of AI cautiously to ensure ethical considerations are met. The review also discusses the applications of AI in various medical specialties, highlighting its potential to enhance diagnostic precision, streamline administrative tasks, and personalize treatment plans. The integration of AI in clinical practice presents both opportunities and challenges, requiring a balance between innovation and ethical considerations. The review emphasizes the need for robust ethical guidelines, legal frameworks, and transparent AI systems to address the challenges associated with AI in clinical practice.This review provides a comprehensive overview of the current research on the integration of artificial intelligence (AI) into clinical practice. AI has significantly transformed medicine and healthcare by offering innovative solutions to complex problems. One of the key benefits of AI in clinical practice is its ability to efficiently and accurately analyze large volumes of data, leading to the development of applications that improve patient outcomes and reduce the workload of healthcare professionals. AI supports doctors in making more accurate diagnoses and developing personalized treatment plans. Examples of successful AI applications are presented across various medical specialties, including cardiology, surgery, gastroenterology, pneumology, nephrology, urology, dermatology, orthopedics, neurology, gynecology, ophthalmology, pediatrics, hematology, and critically ill patients, as well as diagnostic methods. Special attention is given to legal and ethical considerations such as accuracy, informed consent, privacy, data security, regulatory frameworks, product liability, explainability, and transparency. The review critically evaluates the use of AI in clinical practice and its future potential. However, it is important to approach the development and implementation of AI cautiously to ensure ethical considerations are met. The review also discusses the applications of AI in various medical specialties, highlighting its potential to enhance diagnostic precision, streamline administrative tasks, and personalize treatment plans. The integration of AI in clinical practice presents both opportunities and challenges, requiring a balance between innovation and ethical considerations. The review emphasizes the need for robust ethical guidelines, legal frameworks, and transparent AI systems to address the challenges associated with AI in clinical practice.