Podcast
Diabettech AI
Hosted by Tim Street · EN
From the publisher of Diabettech.com....
These are audio summaries of articles published on www.diabettech.com, created using the Notebook LM tool based on Google's Gemini AI platform.
Sometimes it doesn't quite get it right, but we try and highlight those moments in the episode notes!
10episodes
Episodes
Newest firstAll episodes
The Nine Sensor Samba. A deep dive into the experiment, the outcomes and the implications
Sep 1400:17:13Tap to summarizeIn this episode, our hosts take a deep dive into the Nine Sensor Samba, an n=1 experiment that pits a variety of newly released CGM systems against the incumbents, Dexcom and Libre.With 9 sensors, 15 days and 150 fingerpricks, the outcomes aren't quite what you're expecting!
Transcribe →Snaq. A deep dive into AI for Carb Counting and Glucose Prediction
Aug 1300:23:35Tap to summarizeIn this episode, our hosts discuss the review of Snaq undertaken over at Diabettech, noting the benefits and frustrations of using it, and the conclusions the reviewer drew.The two articles this is drawn from are:https://www.diabettech.com/ai/snaq-a-diabetes-ai-to-help-you-carb-count-badly/https://www.diabettech.com/diabetes/beyond-snaq-qing-digesting-your-glucose-patterns/
Transcribe →In Conversation With... AIs review user data and pump settings to help with diabetes care...
Jul 1500:15:16Tap to summarizeIn this episode, our hosts discuss the attempts that LLMs made to analyse a series of images describing outcomes and pump settings, highlighting the benefits and issues that arose in the experiment. Suffice to say that it wasn't all sweetness and light and they won't be replacing healthcare professionals just yet.
Transcribe →Our AI friends discuss Carb Counting with AI: A Deep Dive into How Different Models Stack Up
Jul 800:17:40Tap to summarizeOur hosts discuss how Large Language Models manage when presented with images of foods to analyse and determine the carb content. It turns out that they are about as good as humans...
Transcribe →Our AI friends review AI responses to factual questions about T1D
Jul 400:26:03Tap to summarizeIn this episode, the twins discuss the study that Diabettech undertook to see how the various AI models handled facts, tips, etc. There's obviously no irony in this approach...
Transcribe →AI's Diabetes Advice: A Model Comparison Study
Jun 1900:10:04Tap to summarizeOur AI hosts discuss the outline of a study comparing how well AI systems give diabetes advice.
Transcribe →Incretins: Shielding Against Diabetes Complications? Beyond Blood Sugar
Jun 1700:22:22Tap to summarizeWith all the information demonstrating that Incretins appears to shield against heart problems, our hosts discuss whether they could help alleviate the complications of diabetes.
Transcribe →Diabetes Device Shake-Up: Spin-Offs and Strategic Shifts
Jun 1500:18:43Tap to summarizeA discussion focusing on Medtronic spinning out its Diabetes division, and with Ypsomed doing the same, what it means for the Diabetes Devices industry...
Transcribe →CGM. Is more better?
Feb 7, 202500:13:53Tap to summarizeOur favourite hosts discussing the advantages and disadvantages of the "more accurate" and "more data" CGMs on the market at the moment and draw some interesting conclusions. Discussion generated by Google Gemini AI.
Transcribe →Location, location, location. Does cannula site affect AID performance?
Nov 7, 202400:09:15Tap to summarizeIn this episode, Mac and Lin discuss infusion site locations and the potential effects on AID systems of changing between abdomen, arms and thighs. it's worth noting that they haven't quite understood that the predominant study referred to in the article used a rapid acting insulin rather than regular human insulin to arrive at the numbers provided. Original article at: https://wp.me/p7O2EL-2uK
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