AI Medical Compendium

Predictive model of cognitive dysfunction among the patients with systemic lupus erythematosus.

Clinical rheumatology Jan 23, 2026

BACKGROUND: Cognitive dysfunction (CD) is a frequent but often underrecognized clinical feature in systemic lupus erythematosus (SLE) patients. It markedly impairs their health-related quality of life. Investigating the risk associated with the onset... read more

Group-based trajectory modelling and interpretable machine learning to identify factors associated with neurodevelopmental trajectories in preterm infants.

BMC pediatrics Jan 23, 2026

Are diagnostic technologies for alzheimer's disease and dementia cost-effective? A systematic review of economic evaluations.

Alzheimer's research & therapy Jan 23, 2026

BACKGROUND: Alzheimer's disease (AD) and dementia pose a significant clinical and economic burden globally. Early diagnosis and intervention can potentially delay disease progression. Current diagnostic guidelines recommend considering imaging and bi... read more

Leveraging a large language model to support expansion of surveillance activities to include cardiovascular implantable device infections in a large, integrated national healthcare system.

Infection control and hospital epidemiology Jan 23, 2026

BACKGROUND: Surveillance activities are emerging as exemplar use cases for large language models (LLMs) in health care. The aim of this study was to evaluate the potential for LLMs to support the expansion of surveillance activities to include cardio... read more

Differentiable Generative Adversarial Network Architecture Search Guided by Efficient Attention and Fréchet Distance.

International journal of neural systems Jan 23, 2026

Generative adversarial network (GAN) architecture search aims to automate the discovery of high-performance network structures. While differentiable search methods like DAMGAN have shown promise, their reliance on inefficient SENet modules and advers... read more

Machine-learning-guided design of MOF-based electrocatalysts for sustainable ammonia production.

Chemical communications (Cambridge, England) Jan 23, 2026

Metal-organic frameworks (MOFs) are highly versatile materials known for their exceptional properties, including high specific surface area, tunable pore structures, and multifunctionality, making them invaluable in fields of electrochemical ammonia ... read more

Multimodal data-driven multitask learning for enhanced identification and classification of chronic obstructive pulmonary disease: a retrospective study.

Journal of global health Jan 23, 2026

BACKGROUND: Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide, demands prompt and precise identification and phenotyping for effective management. This study aims to develop a multimodal multi-task learning fram... read more

Sub-Milliscale-Resolution Bimodal Tactile Sensor Array with Human-Skin-Like Graphesthesia Sensation.

Advanced materials (Deerfield Beach, Fla.) Jan 23, 2026

Multimodal sensory integration advances the development of embodied intelligent systems and robotics with human-skin-like tactile perception. However, the difficulties in simultaneously achieving high resolution and multimodality hamper the exquisite... read more

Infection-targeted innovations in anastomotic leak management: endoscopic advances, antimicrobial biomaterials, and precision strategies.

Annals of medicine Jan 23, 2026

Anastomotic leakage (AL) is a devastating complication of gastrointestinal surgery and a critical source of hospital-acquired infections. This review synthesizes recent advances in AL management, with a focus on infection-targeted strategies. A narra... read more

From Gorlin and Doppler Equations to Deep Learning: Is Aortic Stenosis Quantification on the Brink of a New Era?

Circulation. Cardiovascular imaging Jan 23, 2026

Artificial Intelligence Medical Compendium