Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 232,511 articles

DSCrisk: A dual-view and substructure aware based method for drug-drug interaction risk-level prediction enhanced by contrastive learning.

Network (Bristol, England)
Combination pharmacotherapy remains a fundamental strategy in contemporary clinical practice. However, the concurrent use of multiple drugs substantially increases the risk of harmful drug-drug interaction events (DDIEs). Developing reliable computat... read more 

Artificial intelligence adaptation in the future healthcare workforce: Evaluating literacy and anxiety levels.

Work (Reading, Mass.)
BackgroundIncreasing integration of artificial intelligence (AI) into clinical workflows necessitates assessing how future healthcare professionals adapt to these technologies.ObjectıveThis study aims to determine the artificial intelligence literacy... read more 

Research progress on the mechanism and clinical significance of immunoediting in the malignant transformation of oral leukoplakia.

International immunopharmacology
The insidious malignant transformation of oral leukoplakia (OLK) into oral squamous cell carcinoma (OSCC) represents a critical clinical bottleneck in head and neck oncology. Grounded in the cancer immunoediting theory of "elimination-equilibrium-esc... read more 

[Research progress of artificial intelligence in the diagnosis and treatment of Fuchs endothelial corneal dystrophy].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
Fuchs endothelial corneal dystrophy is an inherited corneal endothelial disease that primarily affects middle-aged and elderly individuals. Due to the absence of obvious clinical symptoms in its early stages, it is often missed in diagnosis. If such ... read more 

[Clinical applications and future perspectives of ultra-widefield swept-source optical coherence tomography angiography in ophthalmology].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
Optical coherence tomography angiography (OCTA) is a noninvasive, depth-resolved imaging modality that visualizes ocular microvascular networks based on blood flow-related motion contrast, without exogenous contrast agents. Owing to its ability to pr... read more 

[Clinical applications and future perspectives of ultra-widefield swept-source optical coherence tomography angiography in ophthalmology].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
Optical coherence tomography angiography (OCTA) is a noninvasive, depth-resolved imaging modality that visualizes ocular microvascular networks based on blood flow-related motion contrast, without exogenous contrast agents. Owing to its ability to pr... read more 

Preliminary accuracy, inter- and intra-rater reliability of a 4-point cervical artery dissection diagnostic decision support tool in an ambulatory setting using real and simulated cases: a quality improvement project.

Chiropractic & manual therapies
BACKGROUND: Cervical artery dissection (CeAD) is a rare but life-threatening condition that commonly presents with non-specific symptoms such as neck and head pain, complicating early recognition in ambulatory care settings. The CeAD diagnostic decis... read more 

Linear NeuroPaint: An Efficient Baseline for Cross-Session Neural Alignment and Inpainting

bioRxiv
Large-scale Neuropixels recordings sample many brain areas, but no single experimental session records every area of interest. NeuroPaint, a transformer-based autoencoder, integrates such recordings by aligning area-specific latent dynamics across se... read more 

Linear NeuroPaint: An Efficient Baseline for Cross-Session Neural Alignment and Inpainting

bioRxiv
Large-scale Neuropixels recordings sample many brain areas, but no single experimental session records every area of interest. NeuroPaint, a transformer-based autoencoder, integrates such recordings by aligning area-specific latent dynamics across se... read more 

AI-Driven Design of Next-Generation Immunoinformatics Multi-Epitope Subunit Vaccine Targeting the Most Virulent Mpox Proteome: A Structural and Kinetic Validation Framework

bioRxiv
The resurgence of the Mpox virus (MPXV) highlights the urgent need for scalable, mutation-resistant countermeasures. Slow development timelines hinder traditional empirical vaccine discovery, while conventional vaccinology often yields high false-pos... read more