Artificial Intelligence Medical Compendium

Both natural and synthetic chemical systems not only exhibit a range of non-trivial dynamics, but also transition between qualitatively different dynamical behaviours as environmental parameters change. Such transitions are called bifurcations. Here,... read more 

Haemodynamic indices derived from computational fluid dynamics (CFD), such as time-averaged wall shear stress (TAWSS) and oscillatory shear index (OSI), are closely associated with restenosis risk in peripheral arterial disease (PAD). We present a ma... read more 

RATIONALE AND OBJECTIVES: Extracellular volume (ECV) quantified by cardiac magnetic resonance (CMR) is a key indicator of myocardial fibrosis and strongly linked to outcomes after ST-segment elevation myocardial infarction (STEMI). This research focu... read more 

The heterogeneity of attention-deficit/hyperactivity disorder (ADHD) and its symptom overlap with other mental disorders limit the clinical utility of isolated diagnostic markers. Virtual reality (VR)-based paradigms offer potential to aid individual... read more 

Accurate prediction of dissolved oxygen is important for water-quality management, yet monitoring series are usually noisy, nonlinear, and non-stationary, which limits conventional forecasting models. This study proposes a WOA-EEMD-CNN-LSTM framework... read more 

PURPOSE: Ambient artificial intelligence (AI) scribes aim to reduce documentation burden, yet evidence in urology is limited. We evaluated the pilot rollout of an AI scribe system in our academic urology department, focusing on user experience and el... read more 

OBJECTIVE: To evaluate the performance of an artificial intelligence (AI) technology in recognizing and segmenting anatomical structures across five joints (shoulder, elbow, wrist/hand, knee, and ankle/foot) in musculoskeletal ultrasound (US). DESIGN... read more 

OBJECTIVE: Using a machine learning model, the authors aimed to predict self-harm events within 90 days of an emergency department (ED) visit associated with a mental or substance use disorder diagnosis. METHODS: Electronic health record and claims d... read more 

Computed tomography (CT)-derived skeletal muscle characteristics may provide prognostic information in patients receiving venovenous extracorporeal membrane oxygenation (VV ECMO), but the relative contributions of muscle quantity and attenuation rema... read more 

Hybrid molecular imaging is increasingly recognized as a valuable tool for the precision management of inflammatory bowel disease (IBD). Driven by the treat-to-target paradigm, the noninvasive quantification of transmural inflammation and the accurat... read more