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Article Reads Episode 1
Manage episode 430490738 series 3525393
In RAPM Focus’s latest podcast series, Article Reads, Alopi Patel, MD, narrates “Artificial intelligence and regional anesthesiology education curriculum development: navigating the digital noise” by Kristopher M Schroeder and Nabil Elkassabany. Originally published in Regional Anesthesia & Pain Medicine in June 2024, this daring discourse is now available in podcast format for an all new RAPM experience.
Artificial intelligence (AI) has demonstrated a disruptive ability to enhance and transform clinical medicine. While the dexterous nature of anesthesiology work offers some protections from AI clinical assimilation, this technology will ultimately impact the practice and augment the ability to provide an enhanced level of safe and data-driven care. An essential mission of academia is education, and challenges are frequently encountered when working to develop and implement comprehensive and effectively targeted curriculum appropriate for the diverse set of learners assigned to teaching faculty. Large language models offer the promise of targeted curriculum and content development that can be individualized to a variety of learners at various stages of training.
https://pubmed.ncbi.nlm.nih.gov/38876802
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Manage episode 430490738 series 3525393
In RAPM Focus’s latest podcast series, Article Reads, Alopi Patel, MD, narrates “Artificial intelligence and regional anesthesiology education curriculum development: navigating the digital noise” by Kristopher M Schroeder and Nabil Elkassabany. Originally published in Regional Anesthesia & Pain Medicine in June 2024, this daring discourse is now available in podcast format for an all new RAPM experience.
Artificial intelligence (AI) has demonstrated a disruptive ability to enhance and transform clinical medicine. While the dexterous nature of anesthesiology work offers some protections from AI clinical assimilation, this technology will ultimately impact the practice and augment the ability to provide an enhanced level of safe and data-driven care. An essential mission of academia is education, and challenges are frequently encountered when working to develop and implement comprehensive and effectively targeted curriculum appropriate for the diverse set of learners assigned to teaching faculty. Large language models offer the promise of targeted curriculum and content development that can be individualized to a variety of learners at various stages of training.
https://pubmed.ncbi.nlm.nih.gov/38876802
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