Artificial Intelligence Medical Compendium

'Stems', which mark pharmacological relationships between substances, form the backbone of the International Nonproprietary Name (INN) system, developed by the WHO in the 1950s. In this paper, we propose using the INN stems to enhance pharmacovigilan... read more 

OBJECTIVES: White matter hyperintensities (WMH) are abnormalities in brain imaging that contribute to cognitive decline and diseases. This study aimed to build WMH probability maps (WPMs) and normative data of WMH volume from a Chinese aging cohort, ... read more 

BACKGROUND: Early and late hepatocellular carcinoma (HCC) recurrences, which are driven by residual and de novo tumors, respectively, differ in biology and potential treatment susceptibility. The effectiveness of adjuvant PD-1 inhibitors (aPD-1) acro... read more 

Endocrine-disrupting chemicals (EDCs) pose health risks; yet, conventional in vitro and in vivo testing remains slow, costly, and animal-intensive. Enhanced use of in silico approaches can contribute to earlier and increased detection of potential ED... read more 

Traditional body weight measurement methods face challenges, particularly in critically ill patients, necessitating the development of non-invasive and accurate alternatives. We aimed to develop an artificial intelligence (AI) system for weight predi... read more 

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BACKGROUND: Atypical depression (AD) is a distinct subtype of depression, with interpersonal sensitivity as one of its core characteristics. However, the electrophysiological mechanisms that underlie interpersonal sensitivity in AD remain insufficien... read more 

The intrinsic dynamics and event-driven nature of spiking neural networks (SNNs) make them excel in processing temporal information by naturally utilizing embedded time sequences as time steps. Recent studies adopting this approach have demonstrated ... read more 

BACKGROUND: Exclusive breastfeeding (EBF) for the first six months is recommended by the World Health Organization, yet global rates remain suboptimal. In Brazil, EBF rates show significant regional disparities and socioeconomic gradients. This study... read more 

Dynamic magnetic resonance imaging (MRI) often encounters a trade-off between spatial and temporal resolutions due to slow data acquisition, particularly in free-breathing MRI scans where unpredictable motion complicates imaging. Accelerated dynamic ... read more