AIMC Topic: Mental Recall

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Evaluation of an artificial intelligence system for the diagnosis of apical periodontitis on digital panoramic images.

Nigerian journal of clinical practice Aug 1, 2023
AIMS: The aim of the present study was to evaluate the effectiveness of an artificial intelligence (AI) system in the detection of roots with apical periodontitis (AP) on digital panoramic radiographs.
Mandible Plant Roots Mental Recall Periapical Periodontitis Humans Artificial Intelligence
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Machine learning classifiers for electrode selection in the design of closed-loop neuromodulation devices for episodic memory improvement.

Cerebral cortex (New York, N.Y. : 1991) Jun 20, 2023
Successful neuromodulation approaches to alter episodic memory require closed-loop stimulation predicated on the effective classification of brain states. The practical implementation of such strategies requires prior decisions regarding electrode im...
Electrodes Brain-Computer Interfaces Humans Memory, Episodic Brain Unsupervised Machine Learning Support Vector Machine Electroencephalography Cluster Analysis Random Forest Mental Recall
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White Matter Lesion Segmentation for Multiple Sclerosis Patients implementing deep learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
The aim of this work is to address the problem of White Matter Lesion (WML) segmentation employing Magnetic Resonance Imaging (MRI) images from Multiple Sclerosis (MS) patients through the application of deep learning. A U-net based architecture cont...
Deep Learning Radiology Multiple Sclerosis Humans White Matter Mental Recall
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Utilizing Deep Learning on Limited Mobile Speech Recordings for Detection of Obstructive Pulmonary Disease.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Passive assessment of obstructive pulmonary disease has gained substantial interest over the past few years in the mobile and wearable computing communities. One of the promising approaches is speech-based pulmonary assessment wherein spontaneous or ...
Hand Mental Recall Asthma Deep Learning Speech Humans
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Oscillation-Driven Memory Encoding, Maintenance, and Recall in an Entorhinal-Hippocampal Circuit Model.

Cerebral cortex (New York, N.Y. : 1991) Mar 5, 2021
During the execution of working memory tasks, task-relevant information is processed by local circuits across multiple brain regions. How this multiarea computation is conducted by the brain remains largely unknown. To explore such mechanisms in spat...
Hippocampus Mental Recall Entorhinal Cortex Animals Rats Memory, Short-Term Spatial Memory Theta Rhythm Neural Networks, Computer
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Use of Telepresence Robots in Glaucoma Patient Education.

Journal of glaucoma Mar 1, 2021
PRCIS: Telepresence robots (TR) present the versatility to effectively provide remote educational sessions for patients affected by glaucoma to improve disease knowledge. Given COVID-19's effect on clinical practice, TR can maintain social distancing...
Surveys and Questionnaires Health Knowledge, Attitudes, Practice Robotics Patient Education as Topic Mental Recall Male Pandemics Middle Aged COVID-19 Comorbidity Humans Female Glaucoma SARS-CoV-2 Intraocular Pressure
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Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer's disease. However, Aβ evaluation through Aβ positron emission tomography (PET) is limited due to high cos...
Male Middle Aged Disease Progression Cognitive Dysfunction Cohort Studies Magnetic Resonance Imaging Risk Factors Aged Aged, 80 and over Algorithms Humans Female Machine Learning Neuropsychological Tests Reproducibility of Results Apolipoproteins E Mental Recall Positron-Emission Tomography Hippocampus Cerebral Cortex Predictive Value of Tests Area Under Curve Amyloid beta-Peptides
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Holographic Declarative Memory: Distributional Semantics as the Architecture of Memory.

Cognitive science Nov 1, 2020
We demonstrate that the key components of cognitive architectures (declarative and procedural memory) and their key capabilities (learning, memory retrieval, probability judgment, and utility estimation) can be implemented as algebraic operations on ...
Cognition Decision Making Probability Humans Recognition, Psychology Machine Learning Deep Learning Semantics Judgment Mental Recall
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TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Deep learning has become popular for automatic sleep stage scoring due to its capability to extract useful features from raw signals. Most of the existing models, however, have been overengineered to consist of many layers or have introduced addition...
Humans Deep Learning Electroencephalography Sleep Mental Recall Sleep Stages
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Let's "recall" sensitivity and specificity: Letter to the Editor regarding Gowd et al: "Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty".

Journal of shoulder and elbow surgery Mar 1, 2020
Humans Postoperative Complications Mental Recall Machine Learning Arthroplasty, Replacement, Shoulder Male
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