Welcome to a pivotal exploration of one of the most transformative technological convergences of our time: Artificial Intelligence in Healthcare. This course is designed for healthcare professionals, technologists, students, and policymakers seeking a deep, structured, and nuanced understanding of how AI is reshaping medicine. We are at an inflection point where algorithmic intelligence is moving from research labs into clinical workflows, promising to enhance diagnostic accuracy, personalize treatment, streamline operations, and democratize access to care. However, this integration presents profound challenges in ethics, regulation, and implementation. Over ten detailed chapters, we will journey from the foundational principles of healthcare AI to its cutting-edge applications in medical imaging, clinical decision support, drug discovery, and beyond. We will confront the critical issues of data privacy, algorithmic bias, and regulatory pathways, grounding our discussion in real-world case studies. This course aims not merely to inform but to equip you with the critical framework necessary to evaluate, advocate for, and contribute to the responsible and effective integration of AI into the healthcare ecosystem.

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