AI Medical Compendium

Global whole-genome, phylodynamic, and machine-learning analysis of Glaesserella parasuis serovars 2, 5, and 12.

Applied and environmental microbiology May 18, 2026

Glaesserella parasuis is a respiratory pathogen of swine and the causative agent of Glässer's disease. Among the 15 serotypes, serotypes 2, 5, and 12 represent globally disseminated, high-risk lineages characterized by increased virulence and antimic... read more

Artificial intelligence for assessment in competency-based medical education: current practices and future directions.

Postgraduate medical journal May 18, 2026

BACKGROUND: Competency-Based Medical Education (CBME) relies on frequent, competency-focused assessments, which can be challenging to implement consistently. Artificial Intelligence (AI) holds promise to improve assessment efficiency, objectivity, an... read more

Chatbot relational dependence and psychosis risk: Conversational artificial intelligence as a potential behavioral addiction context.

Journal of behavioral addictions May 18, 2026

Conversational artificial intelligence (AI) chatbots are increasingly used for emotional support, companionship, and psychological reflection. Their capacity to simulate attentiveness, empathy, and conversational continuity may shift technology use f... read more

Reinforcing the Arsenal: Advanced Antibiotic Adjuvants as Strategic Disruptors of Bacterial Defenses.

Journal of agricultural and food chemistry May 18, 2026

The global crisis of bacterial antimicrobial resistance poses a severe threat to public health and agricultural development. Multidrug-resistant pathogens, including Escherichia coli and Pseudomonas aeruginosa, are widely distributed in clinical sett... read more

HoStB-DVGNN: A Flotation Fault Recognition Method Using Higher Order Spatial-Temporal Block and Dual-Stream Variational GNN.

IEEE transactions on cybernetics May 18, 2026

Accurate fault pattern recognition in the flotation process is crucial for rapid fault response and reducing production risks. However, dynamic flotation process data exhibit high dimensionality, nonlinearity, and nonstationarity, along with signific... read more

EffortNet: A Deep Learning Framework for Objective Assessment of Speech Enhancement Technologies Using EEG-Based Alpha Oscillations.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 18, 2026

This paper presents EffortNet, a novel deep learning framework for decoding listening effort at the individual level from electroencephalography (EEG) during speech comprehension. Quantifying listening effort remains a significant challenge in speech... read more

Impact of Sensory Haptic Vibrotactile Feedback on Manual Dexterity in Augmented Reality.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 18, 2026

The use of immersive environments is increasing, especially in rehabilitation and other areas, like sports and gaming. Tasks performed in virtual/augmented reality (VR/AR) often have poorer motor performance, in part due to reduced tactile and propri... read more

Segmentation of single-cell impedance signals using deep learning: a multi-dataset study.

IEEE transactions on bio-medical engineering May 18, 2026

OBJECTIVE: Microfluidic impedance cytometry (MIC) is a high-throughput, label-free technology for single-cell analysis, with applications in cell classification and non-invasive monitoring. However, developing a universal signal-processing approach f... read more

GDAS: A Machine Learning-Driven Approach for the High-Throughput Identification of Disease-Associated Glycoforms.

Analytical chemistry May 18, 2026

Glycosylation is a critical post-translational modification and a rich source of disease biomarkers, yet comprehensive, site-specific identification of glycosites and glycoforms at the proteome scale remains computationally intensive and time-consumi... read more

Evaluating Medical Students' Perceptions of AI-Assisted Clinical Documentation (CarePilot): Cross-Sectional Study.

JMIR AI May 18, 2026

BACKGROUND: Artificial intelligence (AI) is increasingly being integrated into health care to streamline documentation and improve clinician efficiency. AI-powered documentation tools, such as CarePilot, may reduce administrative burdens and help mit... read more

Artificial Intelligence Medical Compendium