Artificial Intelligence Medical Compendium

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

Showing 46,991 to 47,000 of 224,199 articles

Classification of Adolescent Drinking via Behavioral, Biological, and Environmental Features: A Machine Learning Approach with Bias Control

medRxiv
In 2024, approximately 30% of U.S. adolescents reported having consumed alcohol at least once in their lifetime, with about 25% of these individuals engaging in binge drinking. Adolescent alcohol use is associated with neurodevelopmental impairments,... read more 

Disentangling Symptom Heterogeneity in Large-Scale Psychiatric Text: Domain-Adapted vs. Instruction-Tuned Transformers

medRxiv
Psychiatric disorders are fundamentally challenged by symptom heterogeneity, high comorbidity, and the absence of objective biomarkers, which together result in substantial variability in clinical assessment and treatment selection. Patient-generated... read more 

BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature

bioRxiv
Protein-ligand bioactivity data published in literature are essential for drug discovery, yet manual curation struggles to keep pace with rapidly growing literature. Automated bioactivity extraction remains challenging because it requires not only in... read more 

A Framework for Autonomous AI-Driven Drug Discovery

bioRxiv
The exponential increase in biomedical data offers unprecedented opportunities for drug discovery, yet overwhelms traditional data analysis methods, limiting the pace of new drug development. Here we introduce a framework for autonomous artificial in... read more 

OriGene: A Self-Evolving Virtual Disease Biologist Automating Therapeutic Target Discovery

bioRxiv
Therapeutic target discovery remains a critical yet intuition-driven bottleneck in drug development, typically relying on disease biologists to laboriously integrate diverse biomedical data into testable hypotheses for experimental validation. Here, ... read more 

PMGen: From Peptide-MHC Structure Prediction to Peptide Generation

bioRxiv
Accurate structural modeling of peptide-MHC (pMHC) complexes is a prerequisite for understanding adaptive immunity and developing data-driven immunotherapies. However, current tools are often limited by narrow class coverage, restricted peptide lengt... read more 

End-to-End PET/CT Interpretation and Quantification with an LLM-Orchestrated AI Agent: A Real-World Pilot Study

medRxiv
Background: Although deep learning models have improved individual PET analysis, image processing and quantification tasks, end-to-end automation from raw DICOM to quantitative clinical reporting remains limited, particularly in heterogeneous real-wo... read more 

Development and Validation of CPX-MATE: An End-to-End Medical Education Platform Integrating Voice-Based Virtual Patient Simulation and Automated Real-time Evaluation

medRxiv
Background: Objective Structured Clinical Examination (OSCE; Clinical Performance Examination [CPX] in South Korea) is a high-stakes assessment of clinical performance, communication, and reasoning during time-limited patient encounters. As AI-enable... read more 

Evaluation of six different tests for Schistosoma haematobium diagnosis in a near-elimination setting: a prospective observational diagnostic accuracy study

medRxiv
Background Accurate diagnostic tools are needed in schistosomiasis elimination settings to determine prevalence thresholds for assigning or stopping interventions, guide pre- and post-elimination surveillance, and verify whether elimination has been ... read more 

Precision stratification of risk for suicidal behavior in people with bipolar depression

medRxiv
Patients with bipolar depression are at the highest risk for suicidal behavior, comprising ~10% of all deaths. In the critical period preceding attempts, most are not in contact with mental health professionals to effect anti-suicidal strategies. The... read more