Artificial Intelligence Medical Compendium

Compared with left heart catheterization (LHC), the pressure gradient of an aortic valve (PGAV) measured by echocardiography during transcatheter aortic valve replacement (TAVR) in small annuli is overestimated. The purpose of this study was to impro... read more 

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PURPOSE OF REVIEW: Hypertension remains a leading modifiable risk factor for cardiovascular and renal conditions and dementia. Given its rising global prevalence and economic burden, artificial intelligence offers promising solutions across the care ... read more 

Phosphorus (P) recovery is crucial for sustaining the global food supply and preventing freshwater pollution. Biorefinery waste streams have emerged as promising, yet underexplored sources for P recovery. Here, we presented a renewable and robust cel... read more 

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While solid-state fermentation (SSF) can enhance the bioactive potential of oats, the temporal dynamics of volatile compound formation, particularly in mixed microbial systems, remain poorly characterized. Such volatiles contribute not only to sensor... read more 

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The applications of new and emerging technologies in spine surgery are constantly expanding. Specifically, machine learning algorithms have seen a rise in utilization in clinical research, allowing for interpretation of large datasets that have the c... read more 

Investigating the transcriptional signatures of immune cells in various cancer types is crucial for understanding their roles in the tumor microenvironment and developing effective immunotherapeutic strategies. In this study, we employed machine lear... read more 

Nanozyme-based multichannel sensors integrated with machine learning (ML) often operate as "black boxes," lacking interpretability between analytical outputs and underlying molecular mechanisms. To address this, we developed a polyoxometalate-functio... read more