Artificial Intelligence Medical Compendium

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

Showing 31 to 40 of 223,469 articles

SEVMALrisk: An Externally Validated Clinical Risk Score for Early Risk Stratification of Severe Imported Malaria.

Journal of travel medicine
BACKGROUND: Early recognition of severe imported malaria is essential because treatment decisions frequently need to be made before reliable parasite density measurements become available. Objective tools to support early risk stratification during t... read more 

A novel approach to dyslexia detection: combining EEG data and cognitive tasks with advanced machine learning.

Computer methods in biomechanics and biomedical engineering
Existing dyslexia detection methods typically rely on either EEG or screening tests. This study introduces a multimodal two-stage methodology for dyslexia detection that integrates both EEG signals and screening test data, using spectral features (Sh... read more 

Mapping the combinatorial coding between olfactory receptors and perception with deep learning.

Cell systems
The sense of smell remains poorly understood compared with vision and audition. At its core is an information flow in which odorant molecules activate subsets of olfactory receptors (ORs) and combinations of receptor activations encode distinct perce... read more 

Sinogram-based regularization parameter learning for 2D penalized maximum-likelihood PET image reconstruction.

Physics in medicine and biology
Positron Emission Tomography (PET) is a molecular imaging technique that creates an image of radiopharmaceutical distribution using acquired sinogram data. Accurate PET reconstruction requires a balance between data fidelity and regularization. The c... read more 

A formal Bayesian decisional framework for automated cell subset assignment in multiparametric flow cytometry: The LBC-flow approach.

Methods (San Diego, Calif.)
Multiparametric flow cytometry (MFC) data analyses still largely rely on expert-dependent subjective manual gating strategies. While unsupervised clustering methods have improved data exploitation, no formal probabilistic decisional framework has yet... read more 

Acceleration-dependent variability in simultaneous T1/T2 mapping with a hybrid (mixed) sequence: a phantom comparison of SENSE, compressed sensing, and deep learning reconstructions.

Magnetic resonance imaging
BACKGROUND/PURPOSE: Simultaneous T1/T2 mapping with hybrid (mixed) sequences has been proposed, but clinical use is limited by long acquisition times. Accelerated reconstruction-parallel imaging (PI; SENSE), compressed sensing (CS), and deep learning... read more 

Learning muscle-health trajectories in ageing: towards AI-guided organ chips.

Ageing research reviews
Age-related decline in muscle health is commonly defined using cut-offs for strength, muscle quantity or quality, and physical performance. These measures are essential for diagnosis, but prevention and recovery require an understanding of how muscle... read more 

Development and validation of a machine learning model based on routine laboratory tests for predicting FLT3-ITD mutations in acute myeloid leukaemia.

British journal of haematology
Feline McDonough sarcoma (FMS)-like tyrosine kinase 3 internal tandem duplication (FLT3-ITD) mutations are clinically important in acute myeloid leukaemia (AML). We developed and validated a machine learning model using routine laboratory tests to es... read more 

Artificial Intelligence Assurance in Pain Management Nursing: Protecting Safety, Equity, and Person-Centered Care.

Pain management nursing : official journal of the American Society of Pain Management Nurses
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Emotionally engaged speech reveals acoustic markers of depression and suicide risk.

Journal of affective disorders
BACKGROUND: Major depressive disorder exists along a continuum, from health through remission to active depression. Differentiating these states remains challenging, and suicide risk may not be fully captured by self-report. Objective markers, such a... read more