Introducing In-context

Written By Alyssa Pradhan
 

In-context: May 2025

We’re trying out a new episode format! We’ll be doing a quick wrap of the three papers we found interesting over the last few weeks with some take home points.

01:30 - Patient Reactions to Artificial Intelligence-Clinician Discrepancies

06:50 - AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction

11:10 - Large-scale Local Deployment of DeepSeek-R1 in Pilot Hospitals in China

Some resources and papers we discuss: 

Madanay F, O'Donohue LS, Zikmund-Fisher BJ. Patient Reactions to Artificial Intelligence-Clinician Discrepancies: Web-Based Randomized Experiment. J Med Internet Res. 2025 May 22;27:e68823. doi: 10.2196/68823. PMID: 40403297.

Yi J et al AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study. Lancet Digit Health. 2025 May 12:100862. doi: 10.1016/j.landig.2025.02.002. Epub ahead of print. PMID: 40382274.

Yuan, M et al Large-scale Local Deployment of DeepSeek-R1 in Pilot Hospitals in China: A Nationwide Cross-sectional Survey medRxiv 2025.05.15.25326843; doi: https://doi.org/10.1101/2025.05.15.25326843

 
 
Alyssa Pradhan
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