Designed to introduce healthcare workers to the core concepts and applications of artificial intelligence in healthcare. Participants will learn how AI, including machine learning and natural language processing, enhances diagnostics, patient care, and clinical decision-making. The course covers key AI tools used in healthcare, ethical considerations, and how AI is transforming patient management and healthcare operations. By the end, healthcare professionals will have a foundational understanding of AI and its role in improving patient outcomes and clinical efficiency.
Students will learn the foundational concepts of AI, including how machines simulate human intelligence to perform tasks like reasoning and decision-making. They will understand key terms like Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP), and how these technologies are applied in healthcare to improve diagnostics, treatment, and patient care.
Students will explore how AI technologies are used to enhance patient care, including remote monitoring through wearable devices, telemedicine for virtual consultations, and AI-powered systems for tracking and analyzing patient data. They will also learn about the role of AI in improving patient outcomes, particularly for those with chronic conditions.
Students will become familiar with the essential AI tools that healthcare professionals use, such as diagnostic software, predictive analytics platforms, and Clinical Decision Support Systems (CDSS). They will understand how these tools assist healthcare providers in making informed decisions, improving patient outcomes, and streamlining healthcare
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