Artificial Intelligence Medical Compendium

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

Showing 19,701 to 19,710 of 215,899 articles

Closed-loop stimulation modulates attention shifting in children.

Nature neuroscience
Spontaneous fluctuations in attention can impede adaptation to changing goals and environments. Endogenous control over attentional shifts, referred to as attentional flexibility, is prone to disruption in children with attention deficit disorders. H... read more 

Efficient robot navigation inspired by honeybee learning flights.

Nature
Navigation is a crucial capability for both animals and robots. Although tiny flying insects can robustly navigate over long distances1, state-of-the-art robot navigation methods are computationally expensive and therefore restricted to large robots2... read more 

Large-scale discovery, analysis and design of protein energy landscapes.

Nature
All folded proteins continuously fluctuate between their low-energy native structures and higher-energy conformations that can be partially or fully unfolded. These rare states influence protein function1,2, interactions3, aggregation4-7 and immunoge... read more 

EXPRESS: Artificial Intelligence in Diabetes Care: Toward Precision Diagnosis and Personalized Management.

Journal of investigative medicine : the official publication of the American Federation for Clinical Research
AimsDiabetes mellitus is a global health challenge requiring innovative solutions for early diagnosis, personalized treatment, and ongoing management. This review aims to examine the impact of artificial intelligence (AI) on diabetes care, focusing o... read more 

Adrenal gland dysfunction in males with cluster headache.

The journal of headache and pain
BACKGROUND: Cluster headache is associated with compensated hypogonadism in males, suggesting impaired testicular steroidogenesis. It is unknown if adrenal steroidogenesis is dysregulated and how this is linked to cluster headache pathophysiology. We... read more 

Impaired glymphatic function and advanced brain age gap in chronic migraine: a multimodal MRI study.

The journal of headache and pain
OBJECTIVES: This study investigated whether the coupling between cortical blood-oxygen-level-dependent (BOLD) signals and cerebrospinal fluid (CSF) flow, a physiologically motivated but indirect proxy related to glymphatic-associated dynamics, modera... read more 

An automated workflow for fungal cell counting, cell size and data analysis: enhancing throughput and accuracy with the cell analysis and counting tool using ilastik software (caactus).

BMC microbiology
BACKGROUND: The development of filamentous fungal cells from spore to mature mycelium is influenced by a myriad of environmental conditions. Traditional methods for quantifying various fungal cell morphologies in liquid media via microscopy are labor... read more 

Early prediction of intraoperative hypotension: development and validation of the HypoBridCast hybrid deep learning model.

BMC anesthesiology
BACKGROUND: Intraoperative hypotension (IOH) is a frequent and clinically important complication associated with adverse postoperative outcomes. Early prediction may facilitate timely intervention, although existing models have limitations in integra... read more 

Parents' knowledge, attitudes, and concerns regarding the use of artificial intelligence in pediatric medicine: a cross-sectional study.

BMC pediatrics
BACKGROUND: Artificial intelligence (AI) is increasingly applied in pediatric healthcare, with the potential to improve diagnostic and treatment accuracy and efficiency. However, parental acceptance and trust are critical for successful implementatio... read more 

Non-traditional metabolic indices predict incident circadian syndrome in middle-aged and older Chinese adults: a nationwide prospective cohort study and machine learning analysis.

Lipids in health and disease
BACKGROUND: Circadian syndrome (CircS) augments the conventional metabolic syndrome construct by adding disturbed sleep and depressive features. Whether composite metabolic indices that combine insulin-resistance, atherogenic-lipid, and inflammatory ... read more