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Khabre desk
Recent reporting, analysis and explainers from the Health Informatics desk.
health
An analysis of All of Us health records estimated that about one in nine adults who had experienced Long COVID carried a corresponding diagnosis code, under assumptions comparing the records with federal survey data. Models rebuilt from released counts showed moderate ability to predict later coding, but performance varied by metric and site.
health
In a study of 700 simulated conversations, five free AI chatbots maintained sleep apnoea referral recommendations in neutral exchanges but did so less often when the simulated patient minimised symptoms. The medRxiv preprint measured chatbot responses to scripted scenarios, not outcomes in real patients.
health
A medRxiv preprint describes MINT, a foundation model trained and validated on 766,733 pediatric emergency visits. The authors report advantages over task-specific models in 21 of 25 comparisons and stronger performance than physicians on one respiratory-support forecasting task.
health
A retrospective preprint describes a machine-learning model that combines CT-derived radiomics with clinical information to predict outcomes after spontaneous intracerebral haemorrhage. The authors report improved performance over clinical and conventional imaging variables alone.
health
A medRxiv preprint reports that StrokeAgent matched expert-adjudicated final decisions in 86% of a curated set of 100 acute-stroke cases. The system processes clinical records, laboratory results, ECG waveforms and CT images as information becomes available.
health
Researchers report open-source MATLAB and Python software that recovered ECG waveforms with zero error from non-clipped GE MUSE vector PDFs in a test of 1,632 PDF–XML pairs. The method uses information retained in the PDFs’ vector encoding and is specific to MUSE-generated files.
health
A medRxiv preprint describes a method that distils multimorbidity reasoning from large language models into smaller models using synthetic cohorts shaped like UK Biobank data. The resulting models achieved Spearman correlations of 0.75–0.89 and produced scores associated with improved survival prediction in a UK Biobank analysis.