Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 59,581 to 59,590 of 228,014 articles

Foundation model-enhanced unsupervised 3D deformable medical image registration.

Physics in medicine and biology
Objective.Unsupervised deep learning has shown great promise in deformable image registration (DIR). These methods update model weights to optimize image similarity without requiring ground truth deformation vector fields (DVFs). However, they inhere... read more 

Emotion recognition from auditory autonomous sensory meridian response (ASMR) using multi-modal physiological signals.

Physiological measurement
Objective.Autonomous sensory meridian response (ASMR) is a tingling sensation induced while attending to specific sounds, including whispering, tapping, scratching, or other soft, repetitive noises. While previous studies focused on low arousal-posit... read more 

Room temperature dynamics of atomic clusters adsorbed on graphene: a machine-learning force field molecular dynamics study.

Physical chemistry chemical physics : PCCP
Clusters adsorbed on graphene can alter the electronic and spin-based properties of this two-dimensional material by proximity interactions. However, at room temperature, the adsorbed clusters tend to move freely over the surface. First-principles mo... read more 

Theoretical study on the analyzability of modified convex regression for radical reaction.

Physical chemistry chemical physics : PCCP
Analyzing data and extracting meaningful insights is essential across various research fields. To address acrylate and methacrylate radical reaction data, we propose a modified convex clustering (regression) method, in which representative points are... read more 

Deformable image registration using multi-resolution vision Transformer for cardiac motion estimation.

Physics in medicine and biology
Objective.Deformable registration plays a crucial role in motion estimation from a sequence of cardiac magnetic resonance (CMR) imaging, which is good for the diagnosis and treatment of heart diseases. To address the challenges posed by intensity inh... read more 

An integrative multiomics random forest framework for robust biomarker discovery.

GigaScience
BACKGROUND: High-throughput technologies now produce a wide array of omics data, from genomic and transcriptomic profiles to epigenomic and proteomic measurements. Integrating multiple omics layers measured on the same samples can reveal cross-layer ... read more 

Advances on the application of the Human Brainnetome Atlas in obsessive-compulsive disorder.

Psychiatry research. Neuroimaging
Obsessive-compulsive disorder (OCD) is a chronic psychiatric disorder characterized by persistent intrusive thoughts and repetitive behaviors, significantly impacting patients' quality of life, social functioning, and overall well-being. Recent advan... read more 

Development of a dual-metric operational decision-support model for full-scale submerged membrane bioreactors (MBRs).

Water research
Membrane bioreactor (MBR) operations are often characterized by reactive and suboptimal responses to complex fouling phenomena, leading to high operational costs. To facilitate a shift toward proactive management, this study developed and evaluated a... read more 

Development of a diagnostic model for esophageal achalasia assessed by esophageal high-resolution manometry using artificial intelligence.

Experimental and therapeutic medicine
Esophageal high-resolution manometry (HRM) is an important tool for diagnosing and assessing esophageal achalasia. Artificial intelligence (AI)-assisted HRM image processing has the potential to aid in the diagnosis of esophageal achalasia. However, ... read more 

The effect of AI-assisted bedside echocardiography on inpatient care: a prospective trial.

European heart journal. Digital health
AIMS: Focused cardiac ultrasound (FoCUS) can yield valuable information for decision-making. However, it is limited by the skills required to acquire and interpret high-quality images. Machine learning algorithms can help mitigate this gap by providi... read more