Artificial Intelligence Medical Compendium

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

Showing 62,701 to 62,710 of 230,507 articles

Clinical validation of a unified data-driven respiratory motion correction technique in 18F-FDG PET/CT imaging of upper abdominal lesions: a real-world study.

EJNMMI physics
PURPOSE: Respiratory motion (RM)-related artifacts significantly impact image quality and diagnostic accuracy in PET/CT imaging. This study aimed to prospectively evaluate the clinical utility of the unified data-driven respiratory motion correction ... read more 

Automated Assessment of OSCE Physical Exams using Multimodal AI

medRxiv
Background The assessment of physical examination skills in medical education is resource-intensive and prone to inter-rater variability. While artificial intelligence (AI) has successfully automated the grading of clinical notes and transcripts, eva... read more 

STRUCT2SEQ: RNA INVERSE FOLDING WITH DEEP Q-LEARNING

bioRxiv
RNA molecules play critical roles in biology and therapeutics, with their function intimately tied to their secondary structure. Designing RNA sequences that reliably fold into desired secondary structures, especially those with complex pseudoknots, ... read more 

Fundamental limitations of genomic language models for realistic sequence generation

bioRxiv
Large language models (LLMs) have shown remarkable success in natural language processing, prompting interest in their application to genomic sequence analysis. Genomic Language Models based on similar architectures offer a promising avenue for synth... read more 

SE3Bind: SE(3)-equivariant model for antibody-antigen binding affinity prediction

bioRxiv
Predicting antibody-antigen binding affinity is critical for therapeutic development, but machine learning-based approaches to the problem are typically hampered by the small amount of available structural and affinity data. We introduce SE3Bind, an ... read more 

Neural signatures of model-based and model-free reinforcement learning across prefrontal cortex and striatum

bioRxiv
Animals integrate knowledge about how the state of the environment evolves to choose actions that maximise reward. Such goal-directed behaviour - or model-based (MB) reinforcement learning (RL) - can flexibly adapt choice to changes, being thus disti... read more 

Normal Breast Tissue (NBT)-Classifiers: Advancing Compartment Classification in Normal Breast Histology

bioRxiv
Background: Cancer research emphasises early detection, yet quantitative methods for analysing normal tissue remain limited. Hematoxylin and eosin (H&E)-stained tissues in digitised whole slide images (WSIs) enable computational histopathology; howev... read more 

Learning Longitudinal Health Representations from EHR and Wearable Data

arXiv
Foundation models trained on electronic health records show strong performance on many clinical prediction tasks but are limited by sparse and irregular documentation. Wearable devices provide dense continuous physiological signals but lack semantic ... read more 

DiffusionQC: Artifact Detection in Histopathology via Diffusion Model

arXiv
Digital pathology plays a vital role across modern medicine, offering critical insights for disease diagnosis, prognosis, and treatment. However, histopathology images often contain artifacts introduced during slide preparation and digitization. Dete... read more 

Proc3D: Procedural 3D Generation and Parametric Editing of 3D Shapes with Large Language Models

arXiv
Generating 3D models has traditionally been a complex task requiring specialized expertise. While recent advances in generative AI have sought to automate this process, existing methods produce non-editable representation, such as meshes or point clo... read more