BackgroundArtificial intelligence (AI) scribes have the potential to reduce documentation burden. Previous studies have mostly relied on aggregated, vendor-provided (e.g., Epics Signal) outcome measures, potentially obfuscating the true effect of AI ... read more
Primary ciliary dyskinesia (PCD) belongs to the group of rare genetic disorders that is extremely hard to diagnose and treat. Current diagnostic modalities detect only 70% of cases and are technically demanding. It necessitates novel computational ap... read more
BACKGROUND: The complex brain changes involved in Alzheimer's disease (AD) development constitute a high-dimensional nonlinear feature space where deep learning (DL) classification/diagnosis may be advantageous over classical non-learning methods. Ho... read more
3D genome organization is essential for gene regulation, yet in various species it is driven by different biological mechanisms. Species-specific factors and DNA sequences influence chromatin folding, complicating cross-species comparisons. Leveragin... read more
Stop codons dictate translation termination, and variants occurring at these sites can result in stop-loss variants, leading to C-terminal extensions with significant functional consequences. Despite their clinical relevance, existing prediction tool... read more
Clinical and experimental emergency medicine
Jan 14, 2026
Acute ischemic stroke (AIS) outcomes depend critically on rapid, accurate early diagnosis in the emergency department. Traditional prehospital tools and large vessel occlusion focused scales aid triage, but have limited ability to distinguish ischemi... read more
Clinical and experimental emergency medicine
Jan 14, 2026
OBJECTIVE: Sepsis remains a major clinical challenge because of its complex, heterogeneous, and multidimensional clustering patterns. This study aimed to investigate the association between vasopressor administration and machine learning-derived clus... read more
BACKGROUND: Various artificial intelligence-based medical technologies have been used for diagnosing and treating diseases. Although moyamoya disease (MMD) poses a significant threat to the lives of patients, artificial intelligence (AI) use in MMD i... read more
Metabolic dysfunction-associated steatotic liver disease (MASLD) is an increasingly prevalent condition associated with hepatic complications and cardiovascular and renal events. Given its significant clinical impact, the development of new strategie... read more
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