Artificial Intelligence Medical Compendium

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

Showing 3,331 to 3,340 of 168,679 articles

Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 6, 2025
Identification of the neuron type is critical when using extracellular recordings in awake, behaving animal subjects to understand computation in neural circuits. Yet, modern recording probes have limited power to resolve neuron identity. Here, we pr... read more 
Animals Male Deep Learning Action Potentials Neurons Cerebellum Wakefulness Macaca mulatta Pursuit, Smooth

Metabolic Adaptation Study of Tumor Cells during Lung Cancer Bone Metastasis in Mice Based on Single-Cell Metabolome Analysis.

Journal of the American Society for Mass Spectrometry Aug 6, 2025
Lung cancer metastasis, the leading cause of patient mortality, is driven by circulating tumor cells (CTCs), which act as direct mediators of metastatic spread. To elucidate the metabolic heterogeneity across lung cancer metastatic stages, a panorami... read more 

Breeding 5.0: Artificial intelligence (AI)-decoded germplasm for accelerated crop innovation.

Journal of integrative plant biology Aug 6, 2025
Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions. This ... read more 

Decoding Covert Visual Attention in Space and Time from Neural Signals.

Annual review of vision science Aug 6, 2025
Visual attention prioritizes relevant stimuli in complex environments through top-down (goal-directed) and bottom-up (stimulus-driven) mechanisms within cortical networks. This review explores the neural mechanisms underlying visual attention, focusi... read more 

Statistical variability in comparing accuracy of neuroimaging based classification models via cross validation.

Scientific reports Aug 6, 2025
Machine learning (ML) has significantly transformed biomedical research, leading to a growing interest in model development to advance classification accuracy in various clinical applications. However, this progress raises essential questions regardi... read more 
Humans Machine Learning Reproducibility of Results Models, Statistical Neuroimaging

Enhancing Postural Monitoring in Wheelchair Users through Context Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 6, 2025
Globally, the number of wheelchair users is steadily increasing. These people often adopt sitting patterns that reflect their functional status. Monitoring the user's postural status can help users and healthcare professionals to treat them. However,... read more 

Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels.

Scientific data Aug 6, 2025
Deep learning models can accelerate the processing of image-based biodiversity data and provide educational value by giving direct feedback to citizen scientists. However, the training of such models requires large amounts of labelled data and not al... read more 
Machine Learning Animals Deep Learning Image Processing, Computer-Assisted Biodiversity Austria Moths Butterflies

Alzheimer's disease risk prediction using machine learning for survival analysis with a comorbidity-based approach.

Scientific reports Aug 6, 2025
Alzheimer's disease (AD) presents a pressing global health challenge, demanding improved strategies for early detection and understanding its progression. In this study, we address this need by employing survival analysis techniques to predict transi... read more 
Humans Machine Learning Female Risk Factors Aged Aged, 80 and over Male Disease Progression Comorbidity Cognitive Dysfunction Alzheimer Disease Survival Analysis Neuroimaging

Complex-Valued Chemometrics in Spectroscopy: Inverse Least Squares Regression.

Applied spectroscopy Aug 6, 2025
Inverse least squares (ILS) regression is an advancement of classical least squares (CLS) regression, enabling the calculation of concentrations without requiring prior knowledge of the number of components in a mixture. Complex-valued ILS further en... read more 

Revolutionizing clinical decision making through deep learning and topic modeling for pathway optimization.

Scientific reports Aug 6, 2025
Optimizing clinical pathways is pivotal for enhancing healthcare delivery, yet traditional methods are increasingly insufficient in the face of complex, personalized medical demands. This paper introduces an innovative optimization framework that fus... read more 
Humans Delivery of Health Care Clinical Decision-Making Deep Learning Critical Pathways
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