AIMC Topic: Algorithms

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Denoising Medical Images Using Machine Learning, Deep Learning Approaches: A Survey.

Current medical imaging Jan 1, 2021
OBJECTIVE: Several denoising methods for medical images have been applied, such as Wavelet Transform, CNN, linear and Non-linear methods.
Deep Learning Neural Networks, Computer Signal-To-Noise Ratio Algorithms Normal Distribution
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Multi-modal Medical Image Fusion Algorithm Based on Spatial Frequency Motivated PA-PCNN in the NSST Domain.

Current medical imaging Jan 1, 2021
BACKGROUND: Image fusion has been grown as an effectual method in diseases related diagnosis schemes.
Neural Networks, Computer Algorithms Magnetic Resonance Imaging
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Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.

Journal of X-ray science and technology Jan 1, 2021
BACKGROUND: Accurate and rapid diagnosis of coronavirus disease (COVID-19) is crucial for timely quarantine and treatment.
Female SARS-CoV-2 Aged Diagnosis, Differential Algorithms Tomography, X-Ray Computed Radiologists Male Humans Respiratory Tract Infections Middle Aged Artificial Intelligence Lung Deep Learning COVID-19 Young Adult Clinical Competence Adult Sensitivity and Specificity
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Man-machine interaction-based motion control of a robotic walker.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2021
BACKGROUND: The aging population brings the problem of healthcare and dyskinesia. The lack of mobility extremely affects stroke patient's activities of daily living (ADL) and decreases their quality of life. To assist these mobility-limited people, a...
Humans Algorithms Aged Quality of Life Robotics Robotic Surgical Procedures Activities of Daily Living
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Artificial intelligence in cardiovascular medicine.

Current opinion in cardiology Jan 1, 2021
PURPOSE OF REVIEW: Artificial intelligence is a broad set of sophisticated computer-based statistical tools that have become widely available. Cardiovascular medicine with its large data repositories, need for operational efficiency and growing focus...
Artificial Intelligence Diagnostic Imaging Humans Machine Learning Neural Networks, Computer Algorithms
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Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing's Disease.

The Journal of clinical endocrinology and metabolism Jan 1, 2021
CONTEXT: Postoperative hypercortisolemia mandates further therapy in patients with Cushing's disease (CD). Delayed remission (DR) is defined as not achieving postoperative immediate remission (IR), but having spontaneous remission during long-term fo...
Neurosurgical Procedures Remission Induction Postoperative Period Models, Statistical Adenoma Pituitary ACTH Hypersecretion ACTH-Secreting Pituitary Adenoma Male Middle Aged China Humans Time Factors Machine Learning Treatment Outcome Algorithms Follow-Up Studies Computer Simulation Reproducibility of Results Prognosis Retrospective Studies Young Adult Adult Female
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Variable Selection for Time-to-Event Data.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
With the increasing availability of large scale biomedical and -omics data, researchers are offered with unprecedented opportunities to discover novel biomarkers for clinical outcomes. At the same time, they are also faced with great challenges to ac...
Machine Learning Algorithms Biomarkers Humans Principal Component Analysis Proportional Hazards Models Genomics Regression Analysis
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A Hybrid Levenberg-Marquardt Algorithm on a Recursive Neural Network for Scoring Protein Models.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
We have studied the ability of three types of neural networks to predict the closeness of a given protein model to the native structure associated with its sequence. We show that a partial combination of the Levenberg-Marquardt algorithm and the back...
Neural Networks, Computer Algorithms Proteins
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Using Neural Networks for Relation Extraction from Biomedical Literature.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Using different sources of information to support automated extracting of relations between biomedical concepts contributes to the development of our understanding of biological systems. The primary comprehensive source of these relations is biomedic...
Publications Data Mining Biological Ontologies Algorithms Neural Networks, Computer Databases, Factual Biomedical Research
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Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
With rapid advances in experimental instruments and protocols, imaging and sequencing data are being generated at an unprecedented rate contributing significantly to the current and coming big biomedical data. Meanwhile, unprecedented advances in com...
Humans Artificial Intelligence Neoplasms Machine Learning Algorithms Genomics Precision Medicine Diagnostic Imaging Prognosis
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