Artificial Intelligence Medical Compendium

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

Showing 21,601 to 21,610 of 216,348 articles

Road traffic accident severity prediction based on large-scale data and multi-dimensional factors: an explainable ensemble learning approach.

Accident; analysis and prevention
Road traffic accidents cause substantial fatalities and economic losses, yet large-scale severity analysis is often constrained by limited access to high-resolution roadway and geometric data. This study constructs a large-scale, multi-source dataset... read more 

Predicting heavy metal impacts on soil ammonia oxidation during sludge land application: An interpretable framework integrating mechanistic models and machine learning.

Journal of environmental management
Heavy metal (HM)-induced ecological risks hinder the sustainable land application of treated municipal sludge, particularly impacting sensitive biogeochemical processes such as ammonia oxidation. Reliably predicting the long-term effects of HMs on am... read more 

Factors predicting MRI glioma segmentation accuracy in deep learning models: a systematic review and meta-analysis.

Journal of neuroradiology = Journal de neuroradiologie
BACKGROUND: Accurate segmentation is central for the diagnosis and treatment of gliomas. Although manual segmentation remains the clinical standard, it is time-consuming and subject to inter-operator variability. In recent years, deep learning (DL) m... read more 

Human organoids: Fit for drug discovery?

Stem cell reports
Organoids are self-organizing three-dimensional (3D) in vitro tissues derived from pluripotent stem cells (PSCs) that recapitulate key structural and functional features of human organs. Their multicellular architecture and physiological relevance ma... read more 

Prostate Cancer Detection on Micro-Ultrasound Raw Data Using a Deep Learning Neural Network.

Ultrasound in medicine & biology
BACKGROUND: Micro-ultrasound (micro-US) is a clinically available novel high-resolution imaging technology for guiding prostate biopsies. However, clinical image interpretation during live biopsies remains a challenge. PURPOSE: To develop a convoluti... read more 

Auditory brainstem response in pigs: normative data and insights from TPC2 knockout models.

Hearing research
BACKGROUND: Pigs are increasingly used as translational models for auditory research due to anatomical and physiological similarities with humans. However, normative auditory brainstem response (ABR) parameters in commercial pig breeds remain poorly ... read more 

Enhancing 1p/19q Classification in Brain Gliomas Using IDH Status: A Deep Learning Study.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: IDH mutation & 1p/19q codeletion are critical biomarkers for glioma diagnosis & therapy. 1p/19q codeletion occurs exclusively in IDH-mutated gliomas. In this study, we developed a 2-stage, non-invasive, MRI-based deep learning... read more 

A Modular Mechanistic In Silico Model for In Vitro Transcription Process Yield and Product Quality Prediction.

Biotechnology and bioengineering
In vitro transcription (IVT) plays a critical role in the manufacture of mRNA vaccines and therapeutics. Optimizing mRNA yield and ensuring product quality, such as capping efficiency and integrity, are essential but mechanistically complex. This stu... read more 

Spermidine suppresses liver fibrosis by remodeling the communication signal between liver sinusoidal endothelial cells and hepatic stellate cells.

Cell death discovery
Hepatic fibrosis is a pivotal stage in which chronic liver disease progresses from reversible injury to decompensation. Liver sinusoidal endothelial cells (LSECs) play a regulatory role in hepatic stellate cells (HSCs) activation through paracrine si... read more