Artificial Intelligence Medical Compendium

High-throughput tracking yields rich time-series data of animal behaviour, yet extracting biological insight remains a bottleneck, even for simple control--treatment comparisons. Existing analyses struggle to pinpoint the multiple, nonlinearly intert... read more 

Machine learning benchmarks often treat image files as independent observations, although multiple files may represent repeated views or other related samples. Prior work has shown that non-independent partitioning can inflate model performance, but ... read more 

Extracting stable individual-level representations from noisy and variable trial-wise EEG remains a major challenge in computational cognitive neuroscience. We developed a spatiotemporal graph attention network to analyze Go/NoGo EEG from children an... read more 

Autonomous drug discovery via generative molecular design is critically bottlenecked by the production of chemically intractable structures. Multi-trillion-scale make-on-demand libraries guarantee synthetic feasibility, but conventional virtual scree... read more 

Opioid withdrawal drives continued opioid use in opioid use disorder (OUD), which affected an estimated 4 million Americans in 2024. However, only one non-opioid medication is FDA-approved for withdrawal treatment, and there is great need for more di... read more 

Chronic pain fundamentally alters sensorimotor behavior and naturalistic movement, leading to debilitating changes in quality of life. While human neuroimaging studies suggest that chronic pain leads to functional changes in the dorsal striatum (DStr... read more 

Background: Errors in interpreting sources, identifying overlapping cohorts and handling corrections can change the results of systematic reviews. We investigated how documented evidence-processing errors affected one completed review assisted by lar... read more 

BackgroundEvaluating fairness in artificial intelligence (AI) is essential before clinical implementation to prevent unintended harm across diverse patient populations. This study assesses performance differences of an image-based surgical site infec... read more 

Cognitive impairment is a prevalent, disabling manifestation of Long COVID, but whether cognitive rehabilitation alters neural network organization is unknown. We examined whether a 12-week cognitive rehabilitation intervention modified resting-state... read more 

Age and sex estimation from dental radiographs supports forensic identification and age-dependent legal assessment. Multi-input models may combine global and regional representations, but when these inputs are derived from the same radiograph, they m... read more