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AI to Improve Productivity at Work - Online
AI to Improve Productivity At Work
AI to Improve Productivity At Work
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Video Transcription
Video Summary
This webcast, moderated by Teresa Boron from the Society of Critical Care Medicine, featured speakers Ankit Sekuja and Kaitlin Alexander who explored the principles and applications of AI in critical care and education. Sekuja, a Director of Clinical Informatics Research, began by explaining the fundamentals of AI, including machine learning, deep learning, and natural language processing (NLP). He detailed how AI is integrated into everyday life and its potential in healthcare settings, including supervised and unsupervised machine learning, and reinforcement learning for automating clinical processes. Sekuja also introduced deep learning concepts like recurrent neural networks and convolutional neural networks for medical imaging, as well as NLP and large language models like ChatGPT for interpreting human language. Following this, Kaitlin Alexander discussed integrating AI in education, emphasizing its role in enhancing learning efficiency, critical thinking, and preparing health learners for AI-driven environments. She introduced practical applications, including AI as a mentor for feedback, simulating patient interactions, and assisting in tasks like developing patient education materials. Both speakers agreed on the importance of teaching AI literacy to students and maintaining a balance to prevent over-reliance on AI while fostering critical evaluation skills.
Keywords
AI in critical care
machine learning
deep learning
natural language processing
healthcare automation
AI in education
AI literacy
medical imaging
ChatGPT
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