This is the final episode in a five-part series about artificial intelligence in medicine. We start by weighing up the costs and benefits of automation in a health system that’s increasingly pushed beyond capacity. One of the biggest time sinks for health practitioners is filling out and searching through medical records. Some of this could be performed by natural language processors which are becoming more accurate thanks to deep learning. 
 
 The power of large language models has been demonstrated by the meteoritic uptake of ChatGPT and doctors are among those who have used it to summarise literature or draft letters. But professional organisations have raised concerns around the accuracy and privacy of the model and there have also been spooky demonstrations of its capacity for common sense and theory of mind. 

Guests
>Professor Brent Richards MBBS FRACP JJFICM (Gold Coast Hospital and Health Service; Director, IntelliHQ)
>Affiliate Associate Professor Paul Cooper PhD FAIDH CHIA AFHEA GAICD (Deakin University)
>Associate Professor Sandeep Reddy MBBS PhD IPFPH ECFMG CHIA FAcadTM FAIDH FCHSM SFHEA (Deakin University; Founder, MedAI)

Production
Produced by Mic Cavazzini DPhil. Music licenced from Epidemic Sound includes ‘Kryptonite’ by Blue Steel and ‘Thyone’ by Ben Elson. Music courtesy of Free Music Archive includes ‘Headway’ by Kai Engel, ‘Gramaphone’ by Jahzarr and ‘Numbers’ by Krowne. Image by VM licenced from Getty Images. Computerised voice from Online Tone Generator

Editorial feedback kindly provided by physicians David Arroyo, Stephen Bacchi, Aidan Tan, Ronaldo Piovezan and Rahul Barmanray and RACP staff Natasa Lazarevic PhD. 

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