Artificial Intelligence Medical Compendium

Detection of various lesions in brain MRI is clinically critical, but challenging due to the diversity of lesions and variability in imaging conditions. Current unsupervised learning methods detect anomalies mainly through reconstructing abnormal ima... read more 

BACKGROUND: Sepsis represents a life-threatening complication in severe orthopedic trauma, significantly increasing short-term mortality risk. Despite the clinical urgency for early prognosis assessment, current predictive tools remain inadequate. To... read more 

BACKGROUND: Traumatic brain injury (TBI) is a major risk factor for neurological disorders, including post-traumatic epilepsy (PTE), a debilitating condition associated with significant long-term consequences. The prognosis of PTE occurrence remains ... read more 

Machine learned interatomic potentials, particularly equivariant message-passing (MP) models, have demonstrated high fidelity in representing first-principles data, revolutionizing computational studies in materials science, biophysics, and catalysis... read more 

This study introduces an AI-assisted method based on examiner-worn Point of View (POV) glasses and computer vision analysis to provide objective behavioral data for the diagnosis of Autism Spectrum Disorder (ASD). The study included 29 children with ... read more 

Hemodynamic stabilization and preservation of organ perfusion are central elements in the management of septic shock. This is achieved by fluid resuscitation and by administration of vasoactive agents to secure a time window for definitive cause-dire... read more 

OBJECTIVE: Alzheimer's disease (AD) is a prevalent neurodegenerative disorder primarily characterized by progressive cognitive impairment and synaptic dysfunction. Despite substantial research efforts, effective therapeutic options remain limited. Te... read more 

Cancer remains one of the most challenging diseases to conquer due to its high mortality rate and the lack of effective diagnostic and therapeutic tools. Microrobot technology has brought revolutionary advancements to the field of tumor medicine. By ... read more 

Finite element methods typically require a high resolution to satisfactorily approximate micro and even macro patterns of an underlying physical model. This issue can be circumvented by appropriate multiscale strategies that are able to obtain reason... read more 

Immunoglobulin A nephropathy (IgAN), the most prevalent primary glomerulonephritis worldwide, is characterized by chronic renal inflammation and progressive decline toward end-stage renal disease. In this study, we integrated single-cell and bulk RNA... read more