Artificial Intelligence Medical Compendium

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

Showing 60,491 to 60,500 of 228,072 articles

scPlantAnnotate: an accurate and robust transformer-based model for plant cell type annotation.

Journal of advanced research
INTRODUCTION: Accurate cell type annotation remains a major bottleneck in plant single-cell RNA sequencing (scRNA-seq), where existing tools are often adapted from animal studies and perform sub-optimally on plant data. The lack of plant-specific com... read more 

Deep learning for depression prediction in older adults: A retrospective cohort study from CHARLS (2011-2020) with independent cohort validation in CLHLS (2008-2018).

Journal of affective disorders
BACKGROUND: Geriatric depression is highly prevalent yet under-recognized, severely affecting older adults' quality of life and social functioning. There is an urgent need for individualized early prediction tools. While deep learning (DL) holds pote... read more 

Multi-Source Temporal-Depth fusion for robust end-to-End visual odometry.

Neural networks : the official journal of the International Neural Network Society
End-to-end visual odometry models have recently achieved localization accuracy on par with conventional techniques, while effectively reducing the occurrence of catastrophic failures. However, the relevant models cannot leverage the complete time-ser... read more 

Interpretable machine learning prediction of biochar characteristics based on laser-Raman spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
The precise detection of biochar characteristics serves as a critical determinant in both production process optimization and targeted application selection. In this study, interpretable machine learning prediction models based on Raman spectroscopy,... read more 

Integrating hybrid modeling and high throughput screening: A modular process development platform for flowthrough chromatography.

Journal of chromatography. A
As the biopharmaceutical industry continues to advance towards intensified manufacturing and increasingly complex therapeutic pipelines, there is a growing demand for more efficient processes and process development strategies. Flowthrough and fronta... read more 

Transfer learning from 2D natural images to 4D fMRI brain images via geometric mapping.

Medical image analysis
Functional magnetic resonance imaging (fMRI) allows real-time observation of brain activity through blood oxygen level-dependent (BOLD) signals and is extensively used in studies related to sex classification, age estimation, behavioral measurements ... read more 

CATERPillar: a flexible framework for generating white matter numerical substrates with incorporated glial cells.

Medical image analysis
Monte Carlo diffusion simulations in numerical substrates are valuable for exploring the sensitivity and specificity of the diffusion MRI (dMRI) signal to realistic cell microstructure features. A crucial component of such simulations is the use of n... read more 

Associations of blood cell indices with the severity of rheumatoid arthritis: a retrospective case-control and machine learning modeling study.

Therapeutic advances in musculoskeletal disease
BACKGROUND: Immune cells are involved in rheumatoid arthritis (RA), but the link between other blood cell indices and the disease activity of RA, along with the underlying mechanisms, is unclear. OBJECTIVE: This study aimed to develop an interpretabl... read more 

Token-Level Attribution for Transparent Biomedical AI.

Biomedical engineering and computational biology
BACKGROUND: Explainability (xAI) is critical for fostering trust, ensuring safety, and supporting regulatory compliance in healthcare AI systems. Large Language Models (LLMs), with impressive capabilities, operate as "black boxes" with prohibitive co... read more