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 

⁠clinicalguidelines@ambulance.vic.gov.au⁠ 

 

Socials 

David: ⁠@expensivecare⁠ | @expensivecare.bsky.social | LinkedIn 

James: https://linktr.ee/ClinicalConversations 

 

Producer: Liam Mylebry 

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