Artificial Intelligence Medical Compendium

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

Showing 47,781 to 47,790 of 224,199 articles

Navigated hepatic tumor resection using intraoperative ultrasound imaging.

International journal of computer assisted radiology and surgery
PURPOSE: This proof-of-concept study evaluates the feasibility and accuracy of an ultrasound-based navigation system for open liver surgery. Unlike most conventional systems that rely on registration to preoperative imaging, the proposed system provi... read more 

Co-simulation framework combining a microscopically detailed point neuron model of the hippocampal CA1 region with the macroscopic high-resolution virtual brain model.

Journal of computational neuroscience
The human brain is a complex adaptive system characterized by dynamic processes operating across multiple spatio-temporal scales. Capturing these dynamics requires computational models that can integrate different levels of resolution. In this work w... read more 

Acute deep neck infection MRI: deep learning segmentation and clinical relevance of retropharyngeal edema volume.

European radiology experimental
OBJECTIVE: Retropharyngeal edema (RPE) on MRI in patients with acute neck infection is associated with disease severity. We explored the potential role of RPE volume as a quantitative marker and developed a convolutional neural network (CNN) for auto... read more 

Evaluation of GPT-5 for Esophageal Cancer Staging Using Fluorodeoxyglucose Positron Emission Tomography Maximum-Intensity Projection Images: Comparative Pilot Study.

JMIR cancer
BACKGROUND: Accurate esophageal cancer staging relies on 18F fluorodeoxyglucose positron emission tomography (18F FDG-PET), but its interpretation is complex and time-intensive. This diagnostic burden is exacerbated by significant workforce shortages... read more 

Identification of the immune-related diagnostic biomarkers between Graves' disease and thyroid carcinoma based on comprehensive bioinformatics analysis and machine learning.

Autoimmunity
Increasing evidence suggests that Graves' disease (GD) may increase the risk of thyroid cancer (THCA), but diagnostic biomarkers associated with it remain underexplored. To address this issue, we analyzed the Gene Expression Omnibus (GEO) and TCGA (T... read more 

A Spectral Clustering-Based Approach for Balancing Data in TF-Target Gene Interaction Prediction Using Heterogeneous Network Embedding.

IEEE transactions on computational biology and bioinformatics
Identifying transcription factors (TFs) interacting with target genes plays a crucial role in regulating gene expression, providing deep insights into the molecular mechanisms involved in biological processes and diseases, while also opening new oppo... read more 

Physics-Informed Deep Learning for Shear Wave Speed Estimation in MR Elastography.

IEEE transactions on bio-medical engineering
OBJECTIVE: Magnetic Resonance Elastography (MRE) is a non-invasive imaging technique for mapping biomechanical properties of in vivo tissue, including shear wave speed (SWS), but involves intrinsically slow data acquisition and an ill-posed wave inve... read more 

Biomechanics-informed Non-rigid Medical Image Registration with Elasticity Theories.

IEEE transactions on medical imaging
Biomechanical modelling of soft tissue provides a method for constraining medical image registration, such that the estimated spatial transformation is considered biophysically plausible. Existing methods either directly optimize the loss function co... read more 

Beyond Subject-Specific Models in Dynamical Human-Machine Interaction: Benchmarking and Optimization Strategies.

IEEE transactions on neural networks and learning systems
Continuous finger position estimation from surface electromyography (EMG) enables smoother, more intuitive control in human-machine interfaces than discrete gesture classification. Accurate regression, however, requires effective temporal modeling an... read more