AIMC Topic: Nervous System Diseases
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Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders-A Scoping Review.
Sensors (Basel, Switzerland)
Mar 13, 2023
Artificial intelligence (AI) is a field of computer science that deals with the simulation of human intelligence using machines so that such machines gain problem-solving and decision-making capabilities similar to that of the human brain. Neuroscien...
Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Feb 6, 2023
PURPOSE: Postoperative complication prediction helps surgeons to inform and manage patient expectations. Deep learning, a model that finds patterns in large samples of data, outperform traditional statistical methods in making predictions. This study...
Deep learning for rare disease: A scoping review.
Journal of biomedical informatics
Oct 17, 2022
Although individually rare, collectively more than 7,000 rare diseases affect about 10% of patients. Each of the rare diseases impacts the quality of life for patients and their families, and incurs significant societal costs. The low prevalence of e...
Application of Video-Based Deep Learning for Early Diagnosis of Neurological Disorders.
JAMA network open
Jul 1, 2022
The Experiences of Robot-Assisted Gait Training in Patients With Neurological Disorders: A Qualitative Study.
Rehabilitation nursing : the official journal of the Association of Rehabilitation Nurses
Mar 29, 2022
PURPOSE: The aim of this study was to explore the rehabilitation experiences and perceptions of patients with neurological disorders who have used the Lokomat Augmented Feedback module, a robot-assisted gait training device.
Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions.
Sensors (Basel, Switzerland)
Jan 24, 2022
Neurodevelopmental disorders (NDD) are impairments of the growth and development of the brain and/or central nervous system. In the light of clinical findings on early diagnosis of NDD and prompted by recent advances in hardware and software technolo...
Integration of gene co-expression analysis and multi-class SVM specifies the functional players involved in determining the fate of HTLV-1 infection toward the development of cancer (ATLL) or neurological disorder (HAM/TSP).
PloS one
Jan 18, 2022
Human T-cell Leukemia Virus type-1 (HTLV-1) is an oncovirus that may cause two main life-threatening diseases including a cancer type named Adult T-cell Leukemia/Lymphoma (ATLL) and a neurological and immune disturbance known as HTLV-1 Associated Mye...
Comparative Study of Artificial Intelligence Techniques for the Diagnosis of Chronic Nerve Diseases.
Computational and mathematical methods in medicine
Jan 13, 2022
Farming is essential to the long-term viability of any economy. It differs in each country, but it is essential for long-term economic success. Only a few of the agricultural industry's issues include a lack of suitable irrigation systems, weeds, and...
Detection of EEG burst-suppression in neurocritical care patients using an unsupervised machine learning algorithm.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Aug 5, 2021
OBJECTIVE: The burst suppression pattern in clinical electroencephalographic (EEG) recordings is an important diagnostic tool because of its association with comas of various etiologies, as with hypoxia, drug related intoxication or deep anesthesia. ...
Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network.
International journal of computer assisted radiology and surgery
Jun 5, 2021
PURPOSE: Transcranial magnetic stimulation (TMS) is a growing therapy for a variety of psychiatric and neurological disorders that arise from or are modulated by cortical regions of the brain represented by singular 3D target points. These target poi...
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