Artificial Intelligence Medical Compendium

Among community-dwelling older adults living alone, less frequent preintervention social contact was associated with greater reductions in loneliness during a social robot intervention. Future trials should examine whether preintervention social cont... read more 

This study explores how EFL learners construct, negotiate, and develop writing agency through engagement with generative artificial intelligence (GenAI) in second language writing courses. GenAI is conceptualized as a cultural mediational means withi... read more 

OBJECTIVES: Artificial intelligence-assisted systems increasingly produce personalized meal plans, but their value depends on whether clinicians judge those plans credible and usable. We evaluated complete plans from a constrained artificial intellig... read more 

Dyslexia, a prevalent learning disorder, significantly impairs children's ability to process written language, often leading to challenges such as letter reversals, inconsistent spacing, and scrambled writing sequences. Early detection is critical fo... read more 

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: Event-related potentials (ERPs) may provide objective neurophysiological markers for depression-assisted screening. We benchmarked structured ERP features and strictly paired ERP-audio fusion in small-sample, subject-level settings. APPROA... 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 

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