Explore the Pomegranate Health Podcast library
Browse all episodes below, starting with the most recent releases.
Latest episodes
[IMJ On-Air] Is the jury still out on omega-3 supplementation?
For many years now clinical guidelines have explicitly encouraged dietary intake of omega-3s fatty acids for those at high cardiovascular risk. Such recommendations come despite considerable inconsistency in the outcomes from interventions studies over the years.
Ep102: Staying on script with semaglutide
Semaglutide has proven effectiveness for glycaemic control and weight loss as well as predictable benefits for cardiovascular and metabolic health. But the unprecedented demand from the wider population has posed a problem for regulators and prescribers.
Ep100: Conversations with ChatGPT
Natural language processor models could save hours of time spent writing clinical notes and searching through preexisting ones. But there are problematic aspects to networks on the scale of the astounding ChatGPT.
Ep99: When AI goes wrong
Uncertainty around the medicolegal aspects of AI-assisted care is of the main reasons that practitioners report discomfort about the use of this technology. It's a question that hasn’t been well tested in the courts but there is evidence about the types of adverse events that result.
[IMJ On-Air] A tiger in the mallee: Victoria’s JEV cluster
In early 2022 Victorian physicians saw a cluster of patients presenting with fevers, confusion and Parkinsonian symptoms. These would be identified as the first cases of Japanese encephalitis virus acquired on Australia’s mainland in 24 years.
Ep97: The governance of AI
The inexplainability of deep learning models creates discomfort for some clinicians and regulators. But AI-based clinical interventions can still be tested to the standards of evidence-based medicine we are accustomed to.
Ep96: The ergonomics of AI
AI-assisted medicine can help overcome some of the natural limits of human cognition. But it all depends on how seamlessly the machine learning devices fit in with decision-making in the clinical workflow.
Ep95: Machine Learning 101
Artificial intelligence can help interpretation of diagnostic images and perform very nuanced risk stratification based on medical records. But machine learning algorithms must be trained on good quality data to avoid error and bias from being introduced.