AI to Improve Productivity at Work-AI to Improve Productivity At Work

Video Transcription

Video Summary

The webcast, "AI to Improve Productivity at Work," moderated by Teresa Boron from the Society of Critical Care Medicine, explores the use of artificial intelligence (AI) in clinical settings and educational environments. Presented by Ankit Sakuja of Mount Sinai and Kaitlin Alexander from the University of Florida, the discussion covers foundational AI technologies like machine learning, deep learning, and natural language processing. Sakuja highlights clinical applications such as AI in CT scan evaluations and nutrition assessments, while Alexander discusses AI’s role in enhancing educational methodologies and student interactions.<br /><br />Alexander stresses the importance of AI literacy for students, noting its integration into curricula to prepare them for AI tools and outputs in healthcare. Examples include using AI to provide mentorship, simulate scenarios, and create educational materials, all aimed at fostering critical thinking.<br /><br />Both presenters discuss the potential risks of over-reliance on AI and emphasize the need to maintain critical evaluation. They also address privacy and ethical concerns, advocating for responsible use in education and clinical practice. The session concludes with a Q&A exploring AI’s impact on future job roles and workflows.

Keywords

AI in healthcare

clinical applications

educational methodologies

machine learning

deep learning

natural language processing

AI literacy

ethical concerns

future job roles

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