AI in paramedicine
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About this episode
Can a machine diagnose, triage, document a case, or show empathy? AI is everywhere and the pace of change makes it difficult to know when to stop and take stock. In this episode, we explain how AI works for clinicians, what the evidence shows, what the risks and benefits are in healthcare, and what it means for our clinical practice.
Disclaimer: While we did our best to ensure the content was accurate, we don’t script everything and sometimes we do make mistakes. If you hear something in this episode that you disagree with, we want to hear from you, so please get in touch.
Further resources
AI-Assisted Decision Trees for Emergency Call Classification: The IAppel Project | Springer Nature Link
Transforming Health Care Through Chatbots for Medical History-Taking and Future Directions: Comprehensive Systematic Review - PubMed
Clinical Reasoning of a Generative Artificial Intelligence Model Compared With Physicians - PMC
A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians - PubMed
Large Language Model Influence on Diagnostic Reasoning: A Randomized Clinical Trial
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study
Comparing ambient scribes: a randomized crossover clinical trial addressing ambient scribe technologies’ impact on physician burnout
Ambient AI Scribes in Clinical Practice: A Randomized Trial
Get in touch
Socials
David: @expensivecare | @expensivecare.bsky.social | LinkedIn
James: https://linktr.ee/ClinicalConversations
Producer: Liam Mylebry
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