AIMC Topic: Humans

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MobileNet-V2: An Enhanced Skin Disease Classification by Attention and Multi-Scale Features.

Journal of imaging informatics in medicine Oct 1, 2024
The increasing prevalence of skin diseases necessitates accurate and efficient diagnostic tools. This research introduces a novel skin disease classification model leveraging advanced deep learning techniques. The proposed architecture combines the M...
Dermoscopy Deep Learning Skin Diseases Image Interpretation, Computer-Assisted Humans Databases, Factual
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Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans.

Nature biomedical engineering Oct 1, 2024
The application of machine learning to tasks involving volumetric biomedical imaging is constrained by the limited availability of annotated datasets of three-dimensional (3D) scans for model training. Here we report a deep-learning model pre-trained...
Ultrasonography Imaging, Three-Dimensional Magnetic Resonance Imaging Tomography, X-Ray Computed Risk Factors Deep Learning Tomography, Optical Coherence Humans Machine Learning Algorithms
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Deep-Learning-Based Disease Classification in Patients Undergoing Cine Cardiac MRI.

Journal of magnetic resonance imaging : JMRI Oct 1, 2024
BACKGROUND: Automated approaches may allow for fast, reproducible clinical assessment of cardiovascular diseases from MRI.
Humans Algorithms Retrospective Studies Adult Sensitivity and Specificity Male Middle Aged Female Reproducibility of Results Aged Heart Ventricles Myocardial Ischemia Deep Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging, Cine Cardiomyopathy, Hypertrophic Heart Cardiomyopathy, Dilated
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Role of artificial intelligence in treatment planning and outcome prediction of jaw corrective surgeries by using 3-D imaging: a systematic review.

Oral surgery, oral medicine, oral pathology and oral radiology Oct 1, 2024
OBJECTIVE: Artificial intelligence (AI) has been increasingly utilized in diagnosis of skeletal deformities, while its role in treatment planning and outcome prediction of jaw corrective surgeries with 3-dimensional (3D) imaging remains underexplored...
Patient Care Planning Imaging, Three-Dimensional Treatment Outcome Humans Orthognathic Surgical Procedures Artificial Intelligence Tomography, X-Ray Computed
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Deep Learning-Based Synthetic Computed Tomography for Low-Field Brain Magnetic Resonance-Guided Radiation Therapy.

International journal of radiation oncology, biology, physics Oct 1, 2024
PURPOSE: Magnetic resonance (MR)-guided radiation therapy enables online adaptation to address intra- and interfractional changes. To address the need of high-fidelity synthetic computed tomography (synCT) required for dose calculation, we developed ...
Signal-To-Noise Ratio Radiotherapy Dosage Radiotherapy, Image-Guided Glioma Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Brain Neoplasms Deep Learning Prospective Studies Brain Humans
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Artificial Intelligence in Temporal Bone Imaging: A Systematic Review.

The Laryngoscope Oct 1, 2024
OBJECTIVE: The human temporal bone comprises more than 30 identifiable anatomical components. With the demand for precise image interpretation in this complex region, the utilization of artificial intelligence (AI) applications is steadily increasing...
Tomography, X-Ray Computed Neuroma, Acoustic Temporal Bone Humans Neural Networks, Computer Artificial Intelligence
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Molecular profiling of blood plasma-derived extracellular vesicles derived from Duchenne muscular dystrophy patients through integration of FTIR spectroscopy and machine learning reveals disease signatures.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 1, 2024
PURPOSE: To identify and monitor the FTIR spectral signatures of plasma extracellular vesicles (EVs) from Duchenne Muscular Dystrophy (DMD) patients at different stages with Healthy controls using machine learning models.
Spectroscopy, Fourier Transform Infrared Principal Component Analysis Muscular Dystrophy, Duchenne Child ROC Curve Biomarkers Extracellular Vesicles Male Case-Control Studies Humans Adolescent Machine Learning
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Quantitative in-vitro assessment of a novel robot-assisted system for cochlear implant electrode insertion.

International journal of computer assisted radiology and surgery Oct 1, 2024
PURPOSE: As an increasing number of cochlear implant candidates exhibit residual inner ear function, hearing preservation strategies during implant insertion are gaining importance. Manual implantation is known to induce traumatic force and pressure ...
Humans In Vitro Techniques Robotics Equipment Design Robotic Surgical Procedures Cochlear Implantation Cochlear Implants Electrodes, Implanted
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Applying support vector machines to a diagnostic classification model for polytomous attributes in small-sample contexts.

The British journal of mathematical and statistical psychology Oct 1, 2024
Over several years, the evaluation of polytomous attributes in small-sample settings has posed a challenge to the application of cognitive diagnosis models. To enhance classification precision, the support vector machine (SVM) was introduced for esti...
Psychometrics Algorithms Support Vector Machine Humans Sample Size Computer Simulation Models, Statistical Reproducibility of Results
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Machine Learning-Based Clustering Using a 12-Lead Electrocardiogram in Patients With a Implantable Cardioverter Defibrillator to Identify Future Ventricular Arrhythmia.

Circulation journal : official journal of the Japanese Circulation Society Oct 1, 2024
BACKGROUND: Implantable cardioverter defibrillators (ICDs) reduce mortality associated with ventricular arrhythmia in high-risk patients with cardiovascular disease. Machine learning (ML) approaches are promising tools in arrhythmia research; however...
Cluster Analysis Arrhythmias, Cardiac Tachycardia, Ventricular Male Middle Aged Retrospective Studies Defibrillators, Implantable Humans Electrocardiography Female Machine Learning Aged
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