Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 6,811 to 6,820 of 205,891 articles
How to Teach Generative Artificial Intelligence in Undergraduate Medical Education.
The clinical teacher
Jun 1, 2026
Generative artificial intelligence (AI) refers to computational systems capable of analysing data, recognising patterns and generating outputs that may support decisions. In healthcare, AI has the potential to improve diagnostic accuracy and provide ... read more
Leveraging clinical epidemiology concepts to strengthen machine learning fairness evaluations.
Journal of the American Medical Informatics Association : JAMIA
Jun 1, 2026
OBJECTIVES: The increasing use of machine learning (ML) in clinical care makes fairness a central issue. Fairness, defined as the absence of disparities across individuals or subgroups, shares several parallels with concepts in clinical epidemiology.... read more
Perceptions of Intensive Care Nurses Toward Artificial Intelligence Technologies: A Qualitative Study.
Nursing & health sciences
Jun 1, 2026
Intensive care nurses play a pivotal role in patient care; however, their perceptions and concerns regarding artificial intelligence (AI) in intensive care units remain limited. This study aimed to explore ICU nurses' views on AI to support effective... read more
Social Reasoning-Aware Trajectory Prediction via Multimodal Language Model.
IEEE transactions on pattern analysis and machine intelligence
Jun 1, 2026
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
Jun 1, 2026
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
Jun 1, 2026
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
Jun 1, 2026
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
Jun 1, 2026
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
Jun 1, 2026
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
Jun 1, 2026
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
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