Artificial Intelligence Medical Compendium

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

Showing 4,791 to 4,800 of 203,854 articles

AI-Guided Structure-Aware Modeling and Thermal Proteomics Reveal Direct Demethylzeylasteral-ACLY Interaction

bioRxiv
Identifying the direct molecular targets of bioactive natural products remains a central challenge in chemical biology. Here we present an integrated experimental-computational framework, that combines matrix-augmented thermal proteomics with HoloGNN... read more 

Social Reasoning-Aware Trajectory Prediction via Multimodal Language Model.

IEEE transactions on pattern analysis and machine intelligence
Recent advancements in language models have demonstrated its capacity of context understanding and generative representations. Leveraged by these developments, we propose a novel multimodal trajectory predictor based on a vision-language model, named... read more 

Characterizing Central-Autonomic Dynamics During an Episodic Memory Task Using Multi-Modal Neural and Cardiomechanical Signals.

IEEE transactions on bio-medical engineering
OBJECTIVE: Memory function underlies mental and behavioral health. While the role of the central nervous system (CNS) during episodic memory encoding and retrieval is well researched, the interplay between the CNS and the autonomic nervous system (AN... read more 

Direct Quantification of Uncertainty in Deep Learning-Based Automatic Sleep Staging.

IEEE transactions on bio-medical engineering
OBJECTIVE: To evaluate and compare different methods for quantifying uncertainty in deep learning-based automatic sleep staging, thereby enhancing transparency and supporting clinical adoption. METHODS: Three models trained on the STAGES dataset were... read more 

A Cost-Efficient Multi-Angle Fusion Deep Learning for Ultrasound Localization Microscopy.

IEEE transactions on bio-medical engineering
Ultrasound localization microscopy (ULM) enables super-resolution imaging of microvascular structures by localizing microbubbles from clutter-filtered ultrafast ultrasound data. However, conventional clutter filtering methods, particularly those base... read more 

FOSTER: A Comprehensive Pipeline for Transabdominal Fetal Pulse Oximetry Validated in a Large Animal Model of Pregnancy.

IEEE transactions on bio-medical engineering
OBJECTIVE: Transabdominal fetal pulse oximetry (TFO) has the potential to supplement present intrapartum fetal monitoring approaches, which cannot accurately detect fetuses at risk of birth asphyxia. However, non-invasive measurement of fetal oxygen ... read more 

Zero-Shot Unsupervised Motion Estimation for Motion-Corrected Cardiac T1 Mapping.

IEEE transactions on bio-medical engineering
OBJECTIVE: Cardiac quantitative MRI (qMRI) is a powerful imaging technique for diagnosing pathologies such as diffuse myocardial fibrosis. One main challenge is cardiac motion, which requires synchronization of data acquisition with the heartbeat, le... read more 

High Sensitivity Sensor Based on Bound State in the Continuum in Detection for Cancer Cells.

IEEE transactions on bio-medical engineering
Although terahertz (THz) metasurfaces based on bound state in the continuum (BIC) have garnered significant attention in biomedical applications, their technical implementation in high-sensitivity cancer cells detection remains a critical challenge. ... read more 

Unsupervised Cross-Modality MR Image Segmentation via Prompt-Driven Foundation Model.

IEEE transactions on bio-medical engineering
Obtaining pixel-level expert annotations is expensive and labor-intensive in the medical imaging field, especially for multi-modality imaging data like MR. Most conventional cross-modality segmentation methods rely on unsupervised domain adaptation t... read more 

An Active Dry-Contact Continuous EEG Monitoring System for Seizure Detection Applications in Clinical Neurophysiology.

IEEE transactions on bio-medical engineering
OBJECTIVE: Young children and infants, especially newborns, are highly susceptible to seizures, which, if undetected and untreated, can lead to severe long-term neurological consequences. Early detection typically requires continuous electroencephalo... read more