AIMC Topic: Humans

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Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images.

AJNR. American journal of neuroradiology Mar 18, 2021
BACKGROUND AND PURPOSE: Differentiating glioblastoma from solitary brain metastasis preoperatively using conventional MR images is challenging. Deep learning models have shown promise in performing classification tasks. The diagnostic performance of ...
Area Under Curve Image Enhancement Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma Middle Aged Deep Learning Image Processing, Computer-Assisted Female Reproducibility of Results Aged Adult Brain Neoplasms Male Humans Retrospective Studies
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Computation of epistemic uncertainty due to limited data samples in small field dosimetry using Fuzzy Set Theory.

The British journal of radiology Mar 18, 2021
OBJECTIVE: To estimate the epistemic (or fuzzy) uncertainty, arising due to limited data samples in the measurement of the output factors (OFs) of the small fields using Fuzzy Set Theory (FST).
Humans Fuzzy Logic Uncertainty Radiotherapy Dosage Radiosurgery Radiometry
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Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data.

EBioMedicine Mar 18, 2021
BACKGROUND: Assistive automatic seizure detection can empower human annotators to shorten patient monitoring data review times. We present a proof-of-concept for a seizure detection system that is sensitive, automated, patient-specific, and tunable t...
Reproducibility of Results Epilepsy Data Analysis Humans Deep Learning Algorithms Seizures Electroencephalography Artificial Intelligence Brain Neurologists
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Hybrid artificial fish particle swarm optimizer and kernel extreme learning machine for type-II diabetes predictive model.

Medical & biological engineering & computing Mar 18, 2021
The World Health Organization (WHO) estimated that in 2016, 1.6 million deaths caused were due to diabetes. Precise and on-time diagnosis of type-II diabetes is crucial to reduce the risk of various diseases such as heart disease, stroke, kidney dise...
Animals Diabetes Mellitus, Type 2 Humans Machine Learning Algorithms
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Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.

Medical & biological engineering & computing Mar 18, 2021
The novel discovered disease coronavirus popularly known as COVID-19 is caused due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and declared a pandemic by the World Health Organization (WHO). An early-stage detection of COVID-19 is...
Area Under Curve Datasets as Topic Humans Automation SARS-CoV-2 Lung Machine Learning Support Vector Machine COVID-19 Tomography, X-Ray Computed
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Assessment of medication self-administration using artificial intelligence.

Nature medicine Mar 18, 2021
Errors in medication self-administration (MSA) lead to poor treatment adherence, increased hospitalizations and higher healthcare costs. These errors are particularly common when medication delivery involves devices such as inhalers or insulin pens. ...
Young Adult Adult Middle Aged Adolescent ROC Curve Pharmaceutical Preparations Wireless Technology Humans Artificial Intelligence Aged Nebulizers and Vaporizers Self Administration Insulin Infusion Systems
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Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer.

The British journal of radiology Mar 18, 2021
OBJECTIVES: Mandible osteoradionecrosis (ORN) is one of the most severe toxicities in patients with head and neck cancer (HNC) undergoing radiotherapy (RT). The existing literature focuses on the correlation of mandible ORN and clinical and dosimetri...
Middle Aged Incidence Mandible Reproducibility of Results Sensitivity and Specificity Male Osteoradionecrosis Head and Neck Neoplasms Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Tomography, X-Ray Computed Female
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Evaluating Rehabilitation Progress Using Motion Features Identified by Machine Learning.

IEEE transactions on bio-medical engineering Mar 18, 2021
Evaluating progress throughout a patient's rehabilitation episode is critical for determining the effectiveness of the selected treatments and is an essential ingredient in personalised and evidence-based rehabilitation practice. The evaluation proce...
Biomechanical Phenomena Humans Stroke Recovery of Function Machine Learning Upper Extremity Robotics Stroke Rehabilitation
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Performance-Based Hybrid Control of a Cable-Driven Upper-Limb Rehabilitation Robot.

IEEE transactions on bio-medical engineering Mar 18, 2021
Patients after stroke may have different rehabilitation needs due to various levels of disability. To satisfy such needs, a performance-based hybrid control is proposed for a cable-driven upper-limb rehabilitation robot (CDULRR). The controller inclu...
Movement Upper Extremity Stroke Rehabilitation Humans Fuzzy Logic Robotics
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Tongue Tumor Detection in Hyperspectral Images Using Deep Learning Semantic Segmentation.

IEEE transactions on bio-medical engineering Mar 18, 2021
OBJECTIVE: The utilization of hyperspectral imaging (HSI) in real-time tumor segmentation during a surgery have recently received much attention, but it remains a very challenging task.
Tongue Neoplasms Humans Tongue Carcinoma, Squamous Cell Semantics Deep Learning
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