Artificial Intelligence Medical Compendium

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

Showing 18,641 to 18,650 of 214,544 articles

Rheology-driven penetration dynamics of needle-free jet injection in ex vivo porcine tissue.

Drug delivery and translational research
Needle-free jet injectors offer promising capabilities for drug delivery; however, achieving precise, depth-targeted penetration remains a significant challenge due to the complex interplay between formulation rheology and tissue biomechanics. This c... read more 

Dual-Phase Computed Tomography-Based Deep Learning Architecture for Three-Year Survival Prediction in Hepatocellular Carcinoma.

Journal of imaging informatics in medicine
Hepatocellular carcinoma (HCC) is a major global health burden, ranking as the sixth most common cancer and the third leading cause of cancer-related mortality. Computed tomography (CT) is widely used for HCC evaluation because of the high spatial re... read more 

Discursive Ethics as a Normative Foundation for Integrating Ethics into AI Clinical Decision Support Systems.

Science and engineering ethics
The rapid integration of Artificial Intelligence (AI) in critical sectors such as healthcare has raised significant concerns regarding human autonomy and the risk of delegating vital decisions to opaque artificial systems. This paper examines the nor... read more 

The role of artificial intelligence in adenoma detection during colonoscopy: a systematic review and meta-analysis of randomized controlled trials-Artificial intelligence and adenoma detection.

Techniques in coloproctology
BACKGROUND: Colonoscopy is the gold standard for colorectal cancer screening; however, it is limited by a substantial adenoma miss rate. We aimed to provide an updated and comprehensive synthesis of evidence from randomized controlled trials (RCTs) o... read more 

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