Artificial Intelligence Medical Compendium

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

Showing 65,461 to 65,470 of 231,904 articles

Latest research

Sleep apnoea and its consequences: from animal models to precision medicine.

Sleep medicine
A European Respiratory Society research seminar entitled "Sleep Apnoea and Its Consequences: From Animal Models to Precision Medicine" was held in January 2024 in Lisbon, Portugal. It provided an in-depth analysis of the current landscape and future ... read more 

Dynamic protein structures in solution: decoding the amide I band with 2D-IR spectral libraries and machine learning.

Chemical science
The dynamic three-dimensional structures of proteins dictate their function, but accessing structures in solution at physiological temperatures is challenging. Ultrafast 2D-IR spectroscopy of the protein amide I band produces a spectral fingerprint t... read more 

Workflow-embedded AI as a cognitive scaffold: A randomized trial on knowledge retention and diagnostic competency in undergraduate radiology education.

European journal of radiology open
BACKGROUND: Traditional didactic methods in medical imaging education, predominantly reliant on static images (non-augmented, traditional PACS workflow that requires manual, unguided search and interpretation), consistently fail to bridge the theory-... read more 

Artificial Intelligence for Diagnostic Pathology in Nephrology.

Journal of the American Society of Nephrology : JASN
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Incorporating patient history into the insulin sensitivity prediction in intensive care by feedforward neural network models.

International journal of medical informatics
BACKGROUND AND OBJECTIVE: Insulin sensitivity prediction is crucial for model-based treatment in Intensive Care Unit patients, particularly those with hyperglycemia. However, predicting insulin sensitivity is challenging due to inter- and intra-patie... read more 

AI-optimized sanguinarine derivatives inhibiting sortase A for combating AmpC β-lactamase resistance in Enterobacter cloacae: An integrated computational approach.

Computational biology and chemistry
The antimicrobial resistance is a serious health problem worldwide, and one of the causes of multidrug resistance is AmpC β-lactamase-producing Enterobacter cloacae. This work focused on analyzing the antibacterial properties of the plant-derived alk... read more 

Automatic forward model parameterization with Bayesian inference of conformational populations.

APL machine learning
To quantify how well theoretical predictions of structural ensembles agree with experimental measurements, we depend on the accuracy of forward models (FMs). These models are computational frameworks that generate observable quantities from molecular... read more 

Benchmarking geometric lamellar orientation: A large-scale synthetic dataset for quantification of ferrite-pearlite steels.

Data in brief
Quantitative metallography of ferrite-pearlite steels is essential for establishing structure-property correlations, yet manual characterization is labour-intensive and prone to bias. This article presents a large-scale synthetic dataset designed to ... read more