Artificial Intelligence Medical Compendium

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

Showing 3,721 to 3,730 of 169,519 articles

GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishing.

Accountability in research Aug 8, 2025
BACKGROUND: The integration of generative artificial intelligence (GAI) in research raises concerns about transparency, accountability, and task delegation. While frameworks such as CRediT and the NIST AI Use Taxonomy address contributions to researc... read more 

SamRobNODDI: q-space sampling-augmented continuous representation learning for robust and generalized NODDI.

Physics in medicine and biology Aug 8, 2025
OBJECTIVE: Neurite Orientation Dispersion and Density Imaging (NODDI) microstructure estimation from diffusion magnetic resonance imaging (dMRI) is of great significance for the discovery and treatment of various neurological diseases. Current deep l... read more 

Integrating bioinformatics analysis, machine learning, and experimental validation to identify pyroptosis-related genes in the diagnosis of sepsis combined with acute liver failure.

Hereditas Aug 8, 2025
BACKGROUND: Sepsis is frequently combined with acute liver failure (ALF), a critical determinant in the mortality of septic patients. Pyroptosis is a significant form of programmed cell death that plays an important role in the inflammatory response.... read more 
Humans Machine Learning Biomarkers Animals Gene Expression Profiling Sepsis ROC Curve Mice Computational Biology Pyroptosis Liver Failure, Acute

Breast cancer is detectable from peripheral blood using machine learning over T cell receptor repertoires.

NPJ systems biology and applications Aug 8, 2025
The immune system's defense abilities rely on the diversity of T and B lymphocytes. T Cell Receptors (TCRs) are generated through V(D)J recombination, where distinct genetic elements combine and undergo modifications, creating extensive variability. ... read more 
Humans Machine Learning Female Aged Adult Breast Neoplasms Middle Aged Receptors, Antigen, T-Cell

3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization.

BMC medical research methodology Aug 8, 2025
BACKGROUND: The cutting-edge artificial intelligence (AI) and machine learning (ML) techniques have proven effective at uncovering elucidative knowledge on disease-causing biomarkers and the biological underpinnings of a plethora of human diseases. H... read more 

AAGP integrates physicochemical and compositional features for machine learning-based prediction of anti-aging peptides.

Scientific reports Aug 8, 2025
Aging is a natural phenomenon characterized by the loss of normal morphology and physiological functioning of the body, causing wrinkles on the skin, loss of hair, and compromised immune systems. Peptide therapies have emerged as a promising approach... read more 
Humans Machine Learning Algorithms Aging Peptides Computational Biology Antimicrobial Peptides

Scaling Personality Control in LLMs with Big Five Scaler Prompts

arXiv Aug 8, 2025
We present Big5-Scaler, a prompt-based framework for conditioning large language models (LLMs) with controllable Big Five personality traits. By embedding numeric trait values into natural language prompts, our method enables fine-grained personali... read more 
Computation and Language Multiagent Systems

Higher Order Regularization using Harmonic Eigenfunctions for Model-Based Reconstruction in Magnetic Particle Imaging

arXiv Aug 8, 2025
Magnetic Particle Imaging (MPI) is a recent imaging modality where superparamagnetic nanoparticles are employed as tracers. The reconstruction task is to obtain the spatial particle distribution from a voltage signal induced by the particles. Gener... read more 
Numerical Analysis Numerical Analysis 65K10 65R32 65T40 92C55

Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution

arXiv Aug 8, 2025
Visuomotor policies trained via behavior cloning are vulnerable to covariate shift, where small deviations from expert trajectories can compound into failure. Common strategies to mitigate this issue involve expanding the training distribution thro... read more 
Robotics

Machine learning-based forest fire susceptibility mapping of Southern Mizoram, a part of Indo-Burma biodiversity hotspot.

Environmental science and pollution research international Aug 8, 2025
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