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Humans - AI Medical Compendium

AIMC Topic: Humans

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Whole-body low-dose computed tomography in patients with newly diagnosed multiple myeloma predicts cytogenetic risk: a deep learning radiogenomics study.

Skeletal radiology Jun 27, 2024
OBJECTIVE: To develop a whole-body low-dose CT (WBLDCT) deep learning model and determine its accuracy in predicting the presence of cytogenetic abnormalities in multiple myeloma (MM).
Chromosome Aberrations Whole Body Imaging In Situ Hybridization, Fluorescence Multiple Myeloma Radiation Dosage Aged, 80 and over Adult Male Deep Learning Predictive Value of Tests Middle Aged Risk Assessment Tomography, X-Ray Computed Female Aged Humans Retrospective Studies
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TransKinect: a computer vision and machine learning clinical decision support system for automatic independent wheelchair transfer technique assessment.

Disability and rehabilitation. Assistive technology Jun 27, 2024
BACKGROUND: Physical and occupational therapists provide routine care for manual wheelchair users and are responsible for training and assessing the quality of transfers. These transfers can produce large loads on the upper extremity joints if improp...
Persons with Disabilities Wheelchairs Female Moving and Lifting Patients Humans Adult Male Biomechanical Phenomena Machine Learning Middle Aged User-Computer Interface Decision Support Systems, Clinical
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Detection and Localization of Spine Disorders from Plain Radiography.

Journal of imaging informatics in medicine Jun 27, 2024
Spine disorders can cause severe functional limitations, including back pain, decreased pulmonary function, and increased mortality risk. Plain radiography is the first-line imaging modality to diagnose suspected spine disorders. Nevertheless, radiog...
Spinal Diseases Spondylolisthesis Spine Spinal Fractures Fractures, Compression Humans Deep Learning Female ROC Curve Adult Male Radiography Middle Aged Radiographic Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted
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ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging.

Journal of imaging informatics in medicine Jun 27, 2024
As the adoption of artificial intelligence (AI) systems in radiology grows, the increase in demand for greater bandwidth and computational resources can lead to greater infrastructural costs for healthcare providers and AI vendors. To that end, we de...
Artificial Intelligence Tomography, X-Ray Computed Image Processing, Computer-Assisted Spleen Radiography, Thoracic Liver Diagnostic Imaging Humans
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Automated Segmentation of Lymph Nodes on Neck CT Scans Using Deep Learning.

Journal of imaging informatics in medicine Jun 27, 2024
Early and accurate detection of cervical lymph nodes is essential for the optimal management and staging of patients with head and neck malignancies. Pilot studies have demonstrated the potential for radiomic and artificial intelligence (AI) approach...
Head and Neck Neoplasms Neck Female Humans Male Deep Learning Algorithms Tomography, X-Ray Computed Lymph Nodes
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Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?

European radiology Jun 27, 2024
OBJECTIVE: To review the components of past and present active surveillance (AS) protocols, provide an overview of the current studies employing artificial intelligence (AI) in AS of prostate cancer, discuss the current challenges of AI in AS, and of...
Watchful Waiting Humans Magnetic Resonance Imaging Prostatic Neoplasms Artificial Intelligence Male
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Predicting Therapeutic Response to Hypoglossal Nerve Stimulation Using Deep Learning.

The Laryngoscope Jun 27, 2024
OBJECTIVES: To develop and validate machine learning (ML) and deep learning (DL) models using drug-induced sleep endoscopy (DISE) images to predict the therapeutic efficacy of hypoglossal nerve stimulator (HGNS) implantation.
Humans Retrospective Studies Male Middle Aged Deep Learning Treatment Outcome Female Adult Endoscopy Hypoglossal Nerve Sleep Apnea, Obstructive Tongue Electric Stimulation Therapy
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Four Genes with Seven Targeted Drugs might be Treatment for Diabetic Nephropathy and Acute Coronary Syndrome.

The Tohoku journal of experimental medicine Jun 27, 2024
Diabetes nephropathy (DN) is a main risk factor for acute coronary syndrome (ACS), but the molecular mechanism is unknown. This research used bioinformatics approaches to uncover potential molecular mechanisms and drugs for DN and ACS. GSE142153 and ...
Humans Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Acute Coronary Syndrome Gene Expression Regulation Molecular Targeted Therapy Gene Ontology Diabetic Nephropathies Computational Biology Databases, Genetic
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Can the Administrative Loads of Physicians be Alleviated by AI-Facilitated Clinical Documentation?

Journal of general internal medicine Jun 27, 2024
BACKGROUND: Champions of AI-facilitated clinical documentation have suggested that the emergent technology may decrease the administrative loads of physicians, thereby reducing cognitive burden and forestalling burnout. Explorations of physicians' ex...
Male Humans Electronic Health Records Middle Aged Physicians, Primary Care Artificial Intelligence Female Documentation Physicians Adult
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Leveraging spiking neural networks for topic modeling.

Neural networks : the official journal of the International Neural Network Society Jun 27, 2024
This article investigates the application of spiking neural networks (SNNs) to the problem of topic modeling (TM): the identification of significant groups of words that represent human-understandable topics in large sets of documents. Our research i...
Neurons Models, Neurological Neural Networks, Computer Humans Action Potentials Neuronal Plasticity Natural Language Processing
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