Artificial Intelligence Medical Compendium

Chronological age is a critical biological trait with substantial relevance in forensic investigations. Growing evidence highlights the role of long non-coding RNAs (lncRNAs) in aging, but the application in age prediction remains largely unexplored.... read more 

The environment of a reaction plays a pivotal role in dictating both the efficiency and selectivity. In this study, we explore how environmental parameters can be strategically manipulated to achieve divergent regioselective syntheses using epoxide a... read more 

Schizophrenia being a major psychiatric disorder comprises of dominant neurodevelopmental corroborations; still there are inadequate markers which reveal the brain vulnerability. Recognition of such neurodevelopmental correlates linked with schizophr... read more 

Phosphodiesterase (PDE) is a crucial enzyme that regulates intracellular signal transduction by breaking down cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP) into inactive forms. Among the 11 PDE families, PDE10A has g... read more 

PURPOSE: Integration of various sources of information for prediction of disease progression is an unmet need in glaucoma diagnostics. We designed a deep learning-based prognostic model incorporating clinical and structural data for forecasting funct... read more 

Inaccurate information regarding cardiovascular disease (CVD) prevention is prevalent on the internet and may influence medical decisions. Artificial intelligence "bots" are present on the internet and may be used for medical questions. This physicia... read more 

Human cognition and behavior rely on the integration of large-scale neural networks that connect the cerebral cortex and subcortical structures. Emerging evidence suggests that alterations in the functional connectivity (FC) between the cortical and ... read more 

BACKGROUND: To investigate the diagnostic performance of CCTA-based artificial intelligence (AI) in detecting ≥ 50 % coronary stenosis of coronary artery disease (CAD) at both the patient and vessel levels. METHODS: A systematic search of PubMed, Emb... read more 

End-to-end training in temporal action detection (TAD) has shown great potential for performance improvement by jointly optimizing the video encoder and action classification head. However, memory bottlenecks have limited the performance of end-to-en... read more 

BACKGROUND: Aggression, which is highly prevalent in patients with mood disorders, has been proven valuable in detecting the progression from hypomania to manic episode, enabling a timely diagnosis and treatment. OBJECTIVE: This study aims to develop... read more