Artificial Intelligence in Clinical Medicine

Artificial Intelligence in Clinical Medicine: General Concepts and Specific Applications explores the evolution and application of artificial intelligence (AI) in medicine, highlighting both its potential and challenges. The initial discussion outlines past failures in integrating AI into healthcare, followed by a review of FDA-approved AI medical devices and their implications for diagnostics. Subsequent sections examine the transformative impact of large language models, the ethical application of AI in clinical settings, and the role of AI in enhancing patient safety. Various specialties, such as cardiology and pulmonary disease, illustrate AI's capabilities in improving diagnostics and treatment. The discussions extend to diabetes care, dermatology, obstetrics, and radiology, emphasizing the need for ethical considerations and quality assessments to ensure AI aligns with human values and improves patient outcomes across diverse healthcare contexts.

• Describes the artificial intelligence in medicine, including its applications, challenges, ethical considerations, and potential to enhance patient care across various healthcare specialties
• Provides in-depth examinations of AI's impact across various medical specialties, such as cardiology, pulmonary disease, diabetes, and dermatology
• Offers industry Insights into the latest advancements in AI technologies, including large language models and digital twins, and their implications for diagnostics and treatment