Artificial Intelligence Medical Compendium

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

Showing 511 to 520 of 234,501 articles

High-fidelity 3D geometric reconstruction of pelvic organs from MRI: a hybrid deep learning and iterative optimization approach.

Physics in medicine and biology
The generation of high-fidelity, high-quality three-dimensional (3D) pelvic organ geometries from magnetic resonance imaging (MRI)-derived segmentation masks remains challenging. This study aimed to develop and evaluate a hybrid framework for reconst... read more 

Adaptive physics-inspired angular-spatial modeling for multi-shell diffusion MRI denoising.

Physics in medicine and biology
OBJECTIVE: Multi-shell diffusion magnetic resonance imaging (dMRI) provides rich q-space information but is susceptible to noise, which can disrupt spatial anatomy, intra-shell directional relationships, inter-shell signal attenuation, and downstream... read more 

Physics-informed machine learning-based dose calculation for patients undergoing fluoroscopically guided interventional procedures.

Physics in medicine and biology
To develop and evaluate a physics-informed machine-learning framework for rapid organ-dose estimation in fluoroscopically guided interventional procedures without requiring patient-specific imaging. Approach: We used 385 adult radiation dose stru... read more 

Physics-informed neural network for photoacoustic tomography reconstruction.

Physics in medicine and biology
Conventional photoacoustic tomography (PAT) reconstruction algorithms often suffer from performance degradation under complex media and non-ideal detection conditions. To tackle these limitations, we propose a novel reconstruction method based o... read more 

Physics-constrained and geometry-aware deep reconstruction for limited-angle CBCT.

Physics in medicine and biology
Limited-angle cone-beam computed tomography (CBCT) is attractive for imageguided radiotherapy and imaging-guided procedure when full-arc acquisition is impractical, but the incomplete angular sampling leads to severe streaking, shading, and structura... read more 

Tumor under forces: biophysical remodeling of tumor microenvironment and associated therapeutic opportunities.

Seminars in cancer biology
Tumors progress within a mechanically dynamic tumor microenvironment (TME), where extracellular matrix (ECM) stiffening, solid stress, and elevated interstitial fluid pressure remodel tumor cell and tumor-associated cell behavior. This TME-related me... read more 

When Is Travel-Health AI Inference Transportable? Mobility-Conditioned Admissibility for Cross-Border Disease Risk and Decision Support.

Travel medicine and infectious disease
BACKGROUND: Artificial intelligence is increasingly used for infectious disease surveillance, traveller risk assessment, outbreak forecasting and decision support. Travel creates a distinctive transportability problem because people move between epid... read more 

An Efficient Convolutional Neural Network Model for Classifying Positive Affective States from EEG Data Considering Sleep Condition.

Journal of neuroscience methods
BACKGROUND: The recognition of affective states from EEG recordings considering the sleep condition can be an important supporting tool in therapy and in the treatment of psychological or psychiatric disorders. NEW METHOD: Since sleep deprivation cha... read more 

Artificial intelligence (AI) and the choroidal challenge: A comprehensive review of AI applications in choroidal imaging.

Survey of ophthalmology
The choroid is a densely vascular layer that sustains the outer retina and may reflect systemic microvascular health. With the advent of new imaging techniques, choroidal imaging has become increasingly detailed, generating vast data volumes. Convent... read more 

Augmenting electronic health records for adverse event detection.

Journal of biomedical informatics
OBJECTIVE: Adverse events (AEs) resulting from medical interventions are significant contributors to patient morbidity, mortality, and healthcare costs. Detection of these events using electronic health records (EHRs) can facilitate timely clinical i... read more