Artificial Intelligence Medical Compendium

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

Showing 18,381 to 18,390 of 214,278 articles

TOPOS: target organ prediction on scout views for automated CT scan planning.

European radiology
BACKGROUND: Overscanning is a common issue in CT planning, leading to unnecessary radiation exposure. PURPOSE: To develop a deep learning model to segment anatomical structures in scout views to optimize scan ranges and reduce radiation. MATERIALS AN... read more 

Identification of key genes related to macrophages and metabolic reprogramming in myocardial infarct based on single-cell and bulk transcriptomics data and experimental validation.

BMC cardiovascular disorders
BACKGROUND: Myocardial infarction (MI), one of the most severe cardiovascular diseases, is influenced by altered macrophage status and metabolic reprogramming (MR), yet the mechanisms of their crosstalk remain unclear. This study used bioinformatics ... read more 

Inflammatory-neurodegenerative crosstalk in pediatric severe traumatic brain injury: a multi-domain plasma proteomic study.

Molecular medicine (Cambridge, Mass.)
BACKGROUND: Pediatric severe traumatic brain injury (sTBI) remains a leading cause of death and long-term disability, yet its molecular characterization is incomplete. Single-biomarker approaches fail to capture the biological heterogeneity underlyin... read more 

Single-cell and machine learning reveal ROS-associated heterogeneity in hepatocellular carcinoma for precision medicine.

BMC cancer
BACKGROUND: Reactive oxygen species (ROS) are critical regulators of tumor development and progression, yet their clinical significance and cellular mechanisms remain poorly defined in hepatocellular carcinoma (HCC). METHODS: A comprehensive computat... read more 

Deep learning-based CT radiomics for ALK rearrangement status prediction in lung adenocarcinoma.

BMC cancer
BACKGROUND: Current clinical guidelines mandate routine evaluation of anaplastic lymphoma kinase (ALK) rearrangement in lung adenocarcinoma prior to ALK-targeted therapy initiation. This study aimed to develop and validate a non-invasive predictive m... read more 

Identifying frailty trajectories in older patients with acute myocardial infarction using structural entropy clustering: a prospective cohort study.

BMC geriatrics
BACKGROUND: Frailty significantly complicates clinical outcomes in older adults with acute myocardial infarction, yet its progression is dynamic and heterogeneous. This study aimed to identify distinct frailty trajectory patterns and their predictors... read more 

Comparative accuracy of a predictive algorithm versus cardiologist assessment for 90-day readmission in decompensated chronic heart failure.

BMC cardiovascular disorders
BACKGROUND: Heart failure is a leading cause of hospital readmission globally. Few studies have compared the performance of artificial intelligence-based prediction models directly with expert clinical judgment. The objective was to compare the perfo... read more 

Development and validation of a novel deep learning coronary artery plaque quantification model.

BMC medical imaging
BACKGROUND: Coronary Computed Tomography Angiography (CCTA) is an established tool for assessing coronary artery disease. CCTA determined total coronary artery plaque volume predicts cardiovascular events, but manual quantification is impractical for... read more 

An integrated multi-variable optimization approach to tailor ankle-foot orthosis stiffness to end-user needs.

Journal of neuroengineering and rehabilitation
BACKGROUND: Ankle foot orthosis (AFOs) are devices commonly prescribed to assist or rehabilitate gait. A critical parameter influencing their effectiveness is the stiffness of the AFO. Although suppliers typically recommend stiffness levels based on ... read more 

Multi-omics integration identifies ribosome biogenesis-active macrophage subpopulation and its key gene GNL2 in driving liver hepatocellular carcinoma progression and mechanisms.

Cancer cell international
BACKGROUND: Liver hepatocellular carcinoma (LIHC) is a common malignancy, yet the core genes driving its progression and potential therapeutic targets remain insufficiently explored. Ribosome biogenesis (RB) is a critical biological process linked to... read more