Artificial Intelligence Medical Compendium

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

Showing 27,851 to 27,860 of 219,064 articles

Nonperiodic dynamic CT reconstruction using backward-warping implicit neural representation with diffeomorphism regularization.

Physics in medicine and biology
\textit{Objective.} Motion artifacts remain a major obstacle in dynamic computed tomography (CT) reconstruction, particularly for nonperiodic rapid motion such as cardiac imaging in patients with fast or irregular heart rates, where ECG-gated approac... read more 

A Kernel Space-based Multidimensional Sparse Model for Dynamic PET Image Denoising.

Physics in medicine and biology
Achieving high image quality for temporal frames in dynamic positron emission tomography (PET) is challenging due to the limited statistic especially for the short frames. Recent studies have shown that deep learning (DL) is useful in a wide range of... read more 

Using a large language model artificial intelligence agent to improve the efficiency of clinical quality measure evidence evaluation: a case study.

BMJ health & care informatics
OBJECTIVES: To evaluate the feasibility and performance of a large language model (LLM)-based artificial intelligence (AI) agent, implemented within a structured Claim-Argument-Evidence System (CAES), for supporting the review of clinical quality mea... read more 

Identification and molecular typing of disulfidptosis-related biomarkers in anaplastic thyroid carcinoma.

Cell death discovery
Increasing evidence suggests that disulfidptosis plays a crucial role in tumorigenesis and progression. This study aimed to identify biomarkers closely associated with disulfidptosis in anaplastic thyroid carcinoma (ATC). Utilizing ATC-related datase... read more 

A new era of precision diagnosis and treatment for lung cancer: artificial intelligence-driven multimodal data integration and clinical applications.

Cell death & disease
Certain characteristics, such as high heterogeneity, a complex tumor microenvironment, metastatic potential, and drug resistance, render Lung cancer (LC) a formidable challenge for clinical management. With rapid advancements in high-throughput seque... read more 

Persistence and turnover of soil organic carbon in global drylands.

Nature communications
Reliable predictions of dryland carbon fluxes require understanding the persistence and turnover of soil organic carbon (SOC). We measure radiocarbon to quantify the age of SOC and CO2 released from soil respiration at 97 dryland sites across six con... read more 

Integrating theory and machine learning to reveal determinants of plasmid copy number.

Nature communications
Plasmids are extrachromosomal mobile genetic elements whose copy numbers (PCNs) critically influence microbial evolution, antibiotic resistance and pathogenicity. Despite their importance and immense diversity, the ecological, evolutionary and molecu... read more 

Dataset for integrity attacks on time synchronized synchrophasor data.

Scientific data
Phasor measurement units, also known as synchrophasors, are a vital component within smart grids to determine the stability of the grid. These devices send synchrophasor data to phasor data concentrators that collate and analyse the data. Recently, s... read more 

The University of Texas Southwestern Glioma Dataset - MRI, Molecular Markers and Segmentations.

Scientific data
Gliomas are the most common type of primary brain tumors. Their management options and outcomes depend significantly on the underlying molecular-marker profile. Traditionally, molecular markers are determined through pathological testing on a tissue ... read more