Artificial Intelligence Medical Compendium

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

Showing 1,451 to 1,460 of 213,568 articles

Effect of Input Resolution on Retinal Vessel Segmentation Performance: An Empirical Study Across Five Datasets.

Journal of imaging informatics in medicine
Most deep learning pipelines for retinal vessel segmentation resize fundus images to satisfy GPU memory constraints and enable uniform batch processing. However, the impact of this resizing on thin vessel detection remains underexplored. When high-re... read more 

Neoadjuvant Chemoradiotherapy on Postoperative Complications of Rectal Cancer: A Retrospective Study Integrating MRI Radiomics and Deep Learning.

Journal of imaging informatics in medicine
Neoadjuvant chemoradiotherapy (nCRT) is standard for locally advanced rectal cancer but increases postoperative complication (POC) risks due to tissue fibrosis and immunosuppression. Existing models based on clinical parameters overlook nCRT-induced ... read more 

Artificial Intelligence in Ischemic Stroke Lesion Segmentation: A Narrative Review of Deep Learning Methods, Clinical Utility, and Future Directions.

Journal of imaging informatics in medicine
Ischemic stroke management is time-sensitive, and lesion segmentation supports treatment selection, prognostication, and reproducible quantification. Deep learning (DL) aims to accelerate and standardize lesion delineation to augment neuroimaging wor... read more 

AI-assisted fragment-based drug discovery of SARS-CoV-2 macrodomain binders validated by NMR and X-ray crystallography.

Communications chemistry
Fragment-based drug discovery (FBDD) is an effective approach for exploring chemical space using small, low-affinity fragments as starting points to facilitate development of lead compounds. Strategies to improve fragment potency include fragment mer... read more 

Integrated bibliometric and machine learning analyses identify candidate autophagy related therapeutic targets for prostate cancer.

Discover oncology
PURPOSE: Autophagy is increasingly recognized as a promising therapeutic target in prostate cancer (PCa), yet its research landscape has not been systematically evaluated. This study uses bibliometric methods to characterize global research trends an... read more 

Mechanistic Insights into Effector-Mediated Modulation of Rice Mitochondrial Proteins by Magnaporthe oryzae.

Molecular biotechnology
Mitochondria are crucial for the plant and animal immunity. The effector protein MoCDIP4 reduces rice immunity by targeting the mitochondria-associated OsDjA9-OsDRP1E protein complex. The present study is focussed on how Magnaporthe oryzae, the fungu... read more 

Biosensor-Based Detection and Quantification of Arsenic in Drinking Water.

ACS synthetic biology
Arsenic contamination of drinking water remains a persistent global health burden and an environmental justice challenge, particularly for low-resource communities that lack access to reliable monitoring tools. Synthetic-biology-driven biosensors off... read more 

Integrating multiple hematologic inflammatory indices into a principal component analysis-derived inflammatory burden score for coronary artery disease.

BMC cardiovascular disorders
BACKGROUND: Complete blood count-derived inflammatory indices have been associated with coronary artery disease (CAD), but their substantial overlap may limit interpretability when assessed individually. We used principal component analysis (PCA) to ... read more 

Human salivary microbiome as a potential non-invasive biomarker for early-onset colorectal cancer screening: a prospective study.

BMC microbiology
BACKGROUND: The incidence of early-onset colorectal cancer (EOCRC) has been increasing in recent years, the carcinogenesis of which has been linked to oral microbiota alterations. However, it is unknown if the salivary microbiome could help detect EO... read more