AIMC Topic: Deep Learning

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Examining arterial pulsation to identify and risk-stratify heart failure subjects with deep neural network.

Physical and engineering sciences in medicine Feb 15, 2024
Hemodynamic parameters derived from pulse wave analysis have been shown to predict long-term outcomes in patients with heart failure (HF). Here we aimed to develop a deep-learning based algorithm that incorporates pressure waveforms for the identific...
ROC Curve Pulse Wave Analysis Proportional Hazards Models Arteries Heart Failure Case-Control Studies Deep Learning Middle Aged Risk Assessment Humans Aged Female Neural Networks, Computer Male
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Prediction of treatment response in major depressive disorder using a hybrid of convolutional recurrent deep neural networks and effective connectivity based on EEG signal.

Physical and engineering sciences in medicine Feb 15, 2024
In this study, we have developed a novel method based on deep learning and brain effective connectivity to classify responders and non-responders to selective serotonin reuptake inhibitors (SSRIs) antidepressants in major depressive disorder (MDD) pa...
Selective Serotonin Reuptake Inhibitors Electroencephalography Signal Processing, Computer-Assisted Male Middle Aged Deep Learning Treatment Outcome Depressive Disorder, Major Neural Networks, Computer Female Adult Humans
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Image2InChI: Automated Molecular Optical Image Recognition.

Journal of chemical information and modeling Feb 15, 2024
The accurate identification and analysis of chemical structures in molecular images are prerequisites of artificial intelligence for drug discovery. It is important to efficiently and automatically convert molecular images into machine-readable repre...
Drug Discovery Deep Learning Image Processing, Computer-Assisted Optical Imaging
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A Review of deep learning methods for denoising of medical low-dose CT images.

Computers in biology and medicine Feb 15, 2024
To prevent patients from being exposed to excess of radiation in CT imaging, the most common solution is to decrease the radiation dose by reducing the X-ray, and thus the quality of the resulting low-dose CT images (LDCT) is degraded, as evidenced b...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Signal-To-Noise Ratio Benchmarking Deep Learning Humans Algorithms
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Geometric deep learning for the prediction of magnesium-binding sites in RNA structures.

International journal of biological macromolecules Feb 15, 2024
Magnesium ions (Mg) are essential for the folding, functional expression, and structural stability of RNA molecules. However, predicting Mg-binding sites in RNA molecules based solely on RNA structures is still challenging. The molecular surface, cha...
Deep Learning Magnesium Ions RNA Binding Sites
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Prediction of Aureococcus anophageffens using machine learning and deep learning.

Marine pollution bulletin Feb 15, 2024
The recurrent brown tide phenomenon, attributed to Aureococcus anophagefferens (A. anophagefferens), constitutes a significant threat to the Qinhuangdao sea area in China, leading to pronounced ecological degradation and substantial economic losses. ...
Deep Learning Machine Learning Nitrogen Reproducibility of Results Stramenopiles
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Which model is more efficient in carbon emission prediction research? A comparative study of deep learning models, machine learning models, and econometric models.

Environmental science and pollution research international Feb 15, 2024
Accurately predicting future carbon emissions is of great significance for the government to scientifically promote carbon emission reduction policies. Among the current technologies for forecasting carbon emissions, the most prominent ones are econo...
China Neural Networks, Computer Carbon Machine Learning Models, Econometric Forecasting Deep Learning
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Clinical decision support system based on deep learning for evaluating implantable collamer lens size and vault after implantable collamer lens surgery: a retrospective study.

BMJ open Feb 15, 2024
OBJECTIVES: To aid doctors in selecting the optimal preoperative implantable collamer lens (ICL) size and to enhance the safety and surgical outcomes of ICL procedures, a clinical decision support system (CDSS) is proposed in our study.
Decision Support Systems, Clinical Humans Visual Acuity Artificial Intelligence Lens Implantation, Intraocular Retrospective Studies Deep Learning
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Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection.

BMJ open Feb 15, 2024
INTRODUCTION: Congenital anomalies are the most encountered cause of fetal death, infant mortality and morbidity. 7.9 million infants are born with congenital anomalies yearly. Early detection of congenital anomalies facilitates life-saving treatment...
Observational Studies as Topic Fetus Ultrasonography, Prenatal Pregnancy Deep Learning Female Humans Cross-Sectional Studies Artificial Intelligence
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Dual view deep learning for enhanced breast cancer screening using mammography.

Scientific reports Feb 15, 2024
Breast cancer has the highest incidence rate among women in Ethiopia compared to other types of cancer. Unfortunately, many cases are detected at a stage where a cure is delayed or not possible. To address this issue, mammography-based screening is w...
Breast Neoplasms Deep Learning Mass Screening Humans Female Early Detection of Cancer Mammography
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