Artificial Intelligence Medical Compendium

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

Showing 22,801 to 22,810 of 216,842 articles

Can large language models approximate human perceptions of disease severity? An evaluation using Global Burden of Disease 2010 disability weights

medRxiv
Background: Disability weights (DWs) quantify the severity of health loss and are essential for estimating disability-adjusted life years in the Global Burden of Disease (GBD) framework. Conventional DW estimation relies on resource-intensive populat... read more 

Self-Care Competence and AI-Supported Learning as Predictors of Enhanced Clinical Decision-Making Skills Among Nurses

medRxiv
Clinical decision-making is a critical competency for nurses particularly in resource-constrained healthcare systems where frontline practitioners must integrate clinical knowledge judgment and contextual constraints to ensure optimal patient outcome... read more 

AI-based discovery of functional boundaries in the human brain from intraoperative electrophysiology

medRxiv
Neurosurgical and neuromodulation therapies such as deep brain stimulation (DBS) require millimeter-level accuracy to effectively target functional brain regions. Yet, many neuroanatomical boundaries remain invisible to current imaging and electrophy... read more 

Do Larger Models Really Win in Drug Discovery?A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction

bioRxiv
The rapid growth of molecular foundation models and general-purpose large language models has encouraged a scale-centric view of artificial intelligence in drug discovery, in which larger pretrained models are expected to supersede compact cheminform... read more 

A generative reference grammar of healthy TCR repertoires reveals cancer-associated immune remodeling

bioRxiv
T-cell receptor (TCR) repertoires encode the organization of adaptive immunity and its reshaping by cancer and therapy, but disentangling treatment-associated structure from V(D)J recombination constraints remains challenging. We present CRAFT (Cance... read more 

Autonomous error detection is enabled by conflict-dependent forward models in human medial frontal cortex

bioRxiv
Learning from mistakes is fundamental for survival. Humans can monitor their behavior to detect action errors without external feedback, utilizing error information for adaptation and learning. How such errors are detected remains unknown. We investi... read more 

A Scalable Sign-Aware Multi-Omics Knowledge Graph Foundation Model for Mechanistic Drug Action and Clinical Response Predictions

bioRxiv
Mechanistically predicting the consequences of drug action requires distinguishing whether molecular interactions are activating or inhibitory, yet most biomedical knowledge graphs and graph neural networks represent biology as unsigned associations.... read more 

Automatic Bevacizumab Response Prediction in Ovarian Cancer from Digital Pathology Images via Novel AI-based Computational Pipeline

bioRxiv
Ovarian cancer is one of the gynecological cancer types, which, if metastasized and not detected early, can cause deaths among women. Therefore, there is a need to accurately predict drug responses to ovarian cancer. A gynecological pathologist inspe... read more 

Joint Variable Selection for Omic Biomarkers in Time-to-Event Data

bioRxiv
The incidence of the vast majority of neurodegenerative, cancer, and metabolic diseases generally increases exponentially with age. In large-scale biobanks, linking time-to-diagnosis information in electronic health records to multiple genomic (``mul... read more 

Dual GLP-1/FGF21 agonism suppresses voluntary alcohol consumption, alcohol choice, and nucleus accumbens dopamine modulation

bioRxiv
Excessive alcohol consumption remains a major public health challenge with limited therapeutic options. Both glucagon-like peptide-1 (GLP-1) and fibroblast growth factor-21 (FGF21) independently regulate alcohol intake through complementary metabolic... read more