Artificial Intelligence Medical Compendium

Knee osteoarthritis (KOA) is a whole-joint disease characterized by inflammation, immune dysregulation, and metabolic imbalance. To define lipid metabolism-related transcriptional heterogeneity within the infrapatellar fat pad (IPFP)/synovium compart... read more 

INTRODUCTION: Lobular endocervical glandular hyperplasia (LEGH), which is considered a precursor lesion of gastric-type adenocarcinoma, exhibits subtle nuclear atypia in cytological specimens and, thus, is occasionally difficult to distinguish from n... read more 

Neurons in the primary visual cortex (V1) are classically thought to encode spatial features of visual stimuli through simple population codes: each neuron exhibits a preferred orientation and preferred spatial frequency, both of which remaining inva... read more 

Lung cancer is one of the leading causes of cancer-related mortality worldwide, emphasizing the need for accurate, automated, and clinically interpretable diagnostic systems. Although existing deep learning (DL) models have achieved promising perform... read more 

In the geniculostriate pathway of the human visual system, neuronal projections carry signals from a particular retinal locus in parallel from one anatomical area to the next. Imprecision in the fidelity of these projections would place constraints o... read more 

Understanding non-genetic determinants of cell fate is critical for developing and improving cancer therapies, as genetically identical cells can exhibit divergent outcomes under the same treatment conditions. In this work, we present a deep learning... read more 

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BACKGROUND: Inpatient falls present significant clinical and financial challenges, yet traditional prevention strategies, like bed alarms, often fail due to a multitude of reasons, such as alarm fatigue and high operational costs. PURPOSE: Evaluate t... read more 

Healthcare systems are rapidly adopting ambient digital scribe (ADS) technologies to reduce documentation burden and improve efficiency in clinical care. Although these systems are typically framed as technical tools that listen to patient dialogue, ... read more 

Chaotic dynamics, commonly seen in weather systems and fluid turbulence, are characterized by their sensitivity to initial conditions, which makes accurate prediction challenging. Recent approaches have focused on developing data-driven models that a... read more