Artificial Intelligence Medical Compendium

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

Showing 24,221 to 24,230 of 217,425 articles

Decoding the Black Box in Deep Learning Models.

JAMA otolaryngology-- head & neck surgery
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Does the Timing of USMLE Step 1 Affect Performance? A Comparison of Pre- and Post-Clerkship Timing in the Pass/Fail Era.

Teaching and learning in medicine
In 2022, Step 1 of the United States Medical Licensing Examination transitioned to pass/fail scoring, removing a major performance-oriented incentive that historically shaped how and why students prepared for the exam. While Step 1 is typically taken... read more 

3D markerless tracking of speech movements with submillimeter accuracy.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Speech movements, generated through precise spatial and temporal control of articulators, are inherently complex. Measuring these movements is challenging and often requires the use of multiple physical sensors positioned around the mouth and face to... read more 

NEuRT: A Transformer-Based Model for Explainable Neuronal Activity Analysis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
The study of neuronal activity is essential for understanding brain function and its alterations in neurode-generative diseases. Advances in in vivo imaging have enabled real-time observation of neuronal dynamics, but classical statistical methods st... read more 

A Dynamic Time Warping-Aware Series-Temporal Transformer for Automated Thresholding of Auditory Brainstem Responses.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Auditory brainstem response (ABR) is widely used in clinical practice to assess hearing, with thresholds typically determined by clinicians via visual inspection-a process prone to human bias. Various statistical methods have therefore been developed... read more 

XAI-Exit: Interpretability-Driven Dynamic Early Exits for Efficient and Transparent DNN Inference.

IEEE transactions on neural networks and learning systems
Deep neural networks (DNNs) excel across domains but face challenges in resource-constrained and critical settings due to high computational cost and limited transparency. Early exit DNNs reduce overhead via intermediate predictions; yet, most approa... read more 

Attention-based Multimodal Spatiotemporal Enhanced Interaction Network For Major Depressive Disorder Detection.

IEEE journal of biomedical and health informatics
Although deep learning models have shown promising results in detecting major depressive disorder (MDD), two main limitations remain: insufficient exploitation of interactive information across multimodal brain networks and a lack of adaptive mechani... read more 

Subject-Independent Deep Learning Framework for Motor Imagery Electroencephalogram Decoding in Neurorehabilitation.

IEEE journal of biomedical and health informatics
Motor imagery (MI) has emerged as a pivotal paradigm in non-invasive brain-computer interfaces (BCIs) for neurorehabilitation, enabling motor function restoration through mental rehearsal of movements. However, traditional MI electroencephalogram (EE... read more 

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models.

IEEE transactions on bio-medical engineering
Event-related potential (ERP), a specialized paradigm of electroencephalographic (EEG), reflects neurological responses to external stimuli or events, generally associated with the brain's processing of specific cognitive tasks. ERP plays a critical ... read more 

Referenceless Proton Resonance Frequency Thermometry Using Deep Learning with Self-Attention.

IEEE transactions on bio-medical engineering
Proton resonance frequency (PRF) MR thermometry provides temperature feedback for MR-guided focused ultrasound (FUS), but conventional baseline-referenced thermometry is vulnerable to inter-scan motion and time-varying background phase, which can des... read more