Artificial Intelligence Medical Compendium

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

Showing 53,721 to 53,730 of 225,930 articles

The relation between children's shyness and their contingent dialogical actions when reacting to a social robot's instructions.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Feb 5, 2026
Dialogical actions are contingent in humans and also need to be contingent when implemented on intelligent systems such as social robots in order to ease human-robot interaction. Whereas current studies suggest that social robots can support children... read more 

Opportunities and mechanisms for learning through social interactions: lessons from marmosets.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Feb 5, 2026
Social interactions are crucial for learning not only in humans but also in non-human animals. To date, comparative studies have typically focused on what is learned from others and on purely observational learning, while paying less attention on how... read more 

Social contingency in embodied neural networks relies on co-constructed dynamical mechanisms.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Feb 5, 2026
What are the mechanisms that enable organisms to detect and respond to the actions of others? Social contingency, or the degree to which one's actions reliably elicit timely and relevant responses from another, underlies adaptive behaviour and social... read more 

Concordant and Discordant Transcriptomic Signatures of Twin Placentas in the Setting of Preeclampsia.

Hypertension (Dallas, Tex. : 1979) Feb 5, 2026
BACKGROUND: Multifetal pregnancies have increased preeclampsia risk, but the underlying pathogenesis may differ from that of singletons. It remains unclear whether twin placentas show molecular signs of preeclampsia synchronously. METHODS: We perform... read more 

Significance of Automation in Nursing Workflows.

Computers, informatics, nursing : CIN Feb 5, 2026
Nurses have expressed a growing interest in artificial intelligence (AI), but automation tools remain underutilized to address key challenges like nurse burnout and heavy workloads, which are associated with reduced productivity, intent to leave, and... read more 

Small-molecule TREM2 agonists: From artificial intelligence driven discovery to therapeutic application in Alzheimer's disease.

Neural regeneration research Feb 5, 2026
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Molecular Biointerface Characterization for an Implanted Medical Device Using Cryogenic Orbitrap Secondary Ion Mass Spectrometry (Cryo-OrbiSIMS).

ACS applied materials & interfaces Feb 5, 2026
Implanted medical devices often fail due to foreign body reactions (FBRs), a process that is still not fully understood. This work presents a depth profiling approach to provide insight into the spatial metabolomics of the biointerface of implants, r... read more 

Improving pandemic prediction: integrating Physics-Informed Neural Networks and symbolic regression for COVID-19 modeling.

Computer methods in biomechanics and biomedical engineering Feb 5, 2026
This study refines the SIDARTHE model for Italy's COVID-19 outbreak using a hybrid, data-driven framework. A two-stage approach compares Maximum Likelihood Estimation (MLE) with Physics-Informed Neural Networks (PINNs) for parameter estimation, then ... read more 

Convolutional Neural Networks on Correlation between GC-MS Molecular Data and QCM Gas-Sensing Data.

ACS sensors Feb 5, 2026
Here, we demonstrate a correlation between gas chromatography/mass spectrometry (GC-MS) compositional data and quartz crystal microbalance (QCM) sensing data by developing a one-dimensional convolutional neural network (1D-CNN) model via principal co... read more 

MACE foundation models for lattice dynamics: a benchmark study on double halide perovskites.

Physical chemistry chemical physics : PCCP Feb 5, 2026
Recent developments in materials informatics and artificial intelligence have led to the emergence of foundational energy models for material chemistry, as represented by the suite of MACE-based foundation models, bringing a significant breakthrough ... read more 
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