AIMC Topic: Humans

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The Role of AI in the Evaluation of Neuroendocrine Tumors: Current State of the Art.

Seminars in nuclear medicine
Advancements in Artificial Intelligence (AI) are driving a paradigm shift in the field of medical diagnostics, integrating new developments into various aspects of the clinical workflow. Neuroendocrine neoplasms are a diverse and heterogeneous group ...

Radiotherapy dose prediction using off-the-shelf segmentation networks: A feasibility study with GammaPod planning.

Medical physics
BACKGROUND: Radiotherapy requires precise, patient-specific treatment planning to achieve high-quality dose distributions that improve patient outcomes. Traditional manual planning is time-consuming and clinically impractical for performing necessary...

A hybrid network based on multi-scale convolutional neural network and bidirectional gated recurrent unit for EEG denoising.

Neuroscience
Electroencephalogram (EEG) signals are time series data containing abundant brain information. However, EEG frequently contains various artifacts, such as electromyographic, electrooculographic, and electrocardiographic. These artifacts can change EE...

Evaluating the Performance of Artificial Intelligence for Improving Readability of Online English- and Spanish-Language Orthopaedic Patient Educational Material: Challenges in Bridging the Digital Divide.

The Journal of bone and joint surgery. American volume
BACKGROUND: The readability of most online patient educational materials (OPEMs) in orthopaedic surgery is above the American Medical Association/National Institutes of Health recommended reading level of sixth grade for both English- and Spanish-lan...

ieGENES: A machine learning method for selecting differentially expressed genes in cancer studies.

Journal of biomedical informatics
Gene selection is crucial for cancer classification using microarray data. In the interests of improving cancer classification accuracy, in this paper, we developed a new wrapper method called ieGENES for gene selection. First we proposed a parsimoni...

A Scoping Review of Artificial Intelligence for Precision Nutrition.

Advances in nutrition (Bethesda, Md.)
With the role of artificial intelligence (AI) in precision nutrition rapidly expanding, a scoping review on recent studies and potential future directions is needed. This scoping review examines: 1) the current landscape, including publication venues...

Machine Learning-Based Identification of Novel Exosome-Derived Metabolic Biomarkers for the Diagnosis of Systemic Lupus Erythematosus and Differentiation of Renal Involvement.

Current medical science
OBJECTIVE: This study aims to investigate the exosome-derived metabolomicsĀ profiles in systemic lupus erythematosus (SLE), identify differential metabolites, and analyze their potential as diagnostic markers for SLE and lupus nephritis (LN).

Minimal Neural Network Conditions for Encoding Future Interactions.

International journal of neural systems
Space and time are fundamental attributes of the external world. Deciphering the brain mechanisms involved in processing the surrounding environment is one of the main challenges in neuroscience. This is particularly defiant when situations change ra...

Frequency-Assisted Local Attention in Lower Layers of Visual Transformers.

International journal of neural systems
Since vision transformers excel at establishing global relationships between features, they play an important role in current vision tasks. However, the global attention mechanism restricts the capture of local features, making convolutional assistan...