Artificial Intelligence Medical Compendium

Accurate classification of artifacts in long-term electroencephalography (EEG) recordings is essential for reliable automated epilepsy analysis, as artifacts may obscure epileptiform patterns and degrade downstream detection performance. However, exi... read more 

Ocular diseases involving both the anterior and posterior segments-such as dry eye disease, keratitis, glaucoma, cataracts, diabetic retinopathy, retinal vein occlusion, and ocular tumors-remain major contributors to global visual impairment. Convent... read more 

Non-invasive monitoring of blood pressure is essential for health management in daily life, particularly for elderly individuals and patients with autonomic dysfunction. However, conventional cuff-based sphygmomanometers are uncomfortable and provide... read more 

OBJECTIVE: Automatic recognition of atrial arrhythmias is important for early clinical screening and computer-aided diagnosis. Distinguishing atrial fibrillation from atrial flutter remains challenging because of their similar electrocardiographic ma... read more 

The generation of high-fidelity, high-quality three-dimensional (3D) pelvic organ geometries from magnetic resonance imaging (MRI)-derived segmentation masks remains challenging. This study aimed to develop and evaluate a hybrid framework for reconst... read more 

OBJECTIVE: Multi-shell diffusion magnetic resonance imaging (dMRI) provides rich q-space information but is susceptible to noise, which can disrupt spatial anatomy, intra-shell directional relationships, inter-shell signal attenuation, and downstream... read more 

To develop and evaluate a physics-informed machine-learning framework for rapid organ-dose estimation in fluoroscopically guided interventional procedures without requiring patient-specific imaging. Approach: We used 385 adult radiation dose stru... read more 

Conventional photoacoustic tomography (PAT) reconstruction algorithms often suffer from performance degradation under complex media and non-ideal detection conditions. To tackle these limitations, we propose a novel reconstruction method based o... read more 

Limited-angle cone-beam computed tomography (CBCT) is attractive for imageguided radiotherapy and imaging-guided procedure when full-arc acquisition is impractical, but the incomplete angular sampling leads to severe streaking, shading, and structura... read more 

Tumors progress within a mechanically dynamic tumor microenvironment (TME), where extracellular matrix (ECM) stiffening, solid stress, and elevated interstitial fluid pressure remodel tumor cell and tumor-associated cell behavior. This TME-related me... read more