AIMC Topic: Algorithms

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Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
The lifestyle of modern society has changed significantly with the emergence of artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies in recent years. Artificial intelligence is a multidimensional technology with va...

Deep learning facilitates the diagnosis of adult asthma.

Allergology international : official journal of the Japanese Society of Allergology
BACKGROUND: We explored whether the use of deep learning to model combinations of symptom-physical signs and objective tests, such as lung function tests and the bronchial challenge test, would improve model performance in predicting the initial diag...

Spatio-temporal deep learning models for tip force estimation during needle insertion.

International journal of computer assisted radiology and surgery
PURPOSE: Precise placement of needles is a challenge in a number of clinical applications such as brachytherapy or biopsy. Forces acting at the needle cause tissue deformation and needle deflection which in turn may lead to misplacement or injury. He...

In situ tissue classification during laser ablation using acoustic signals.

Journal of biophotonics
We suggest a novel method to classify the type of tissue that is being ablated, using the recorded acoustic sound waves during pulsed ultraviolet laser ablation. The motivation of the current research is tissue classification during vascular interven...

Machine learning-aided personalized DTI tractographic planning for deep brain stimulation of the superolateral medial forebrain bundle using HAMLET.

Acta neurochirurgica
BACKGROUND: Growing interest exists for superolateral medial forebrain bundle (slMFB) deep brain stimulation (DBS) in psychiatric disorders. The surgical approach warrants tractographic rendition. Commercial stereotactic planning systems use determin...

I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification.

IEEE journal of biomedical and health informatics
Automatic classification of electrocardiogram (ECG) signals is important for diagnosing heart arrhythmias. A big challenge in automatic ECG classification is the variation in the waveforms and characteristics of ECG signals among different patients. ...

Online sequential echo state network with sparse RLS algorithm for time series prediction.

Neural networks : the official journal of the International Neural Network Society
Recently, the echo state networks (ESNs) have been widely used for time series prediction. To meet the demand of actual applications and avoid the overfitting issue, the online sequential ESN with sparse recursive least squares (OSESN-SRLS) algorithm...

Non-Invasive Sensing of Nitrogen in Plant Using Digital Images and Machine Learning for ssp. L.

Sensors (Basel, Switzerland)
Monitoring plant nitrogen (N) in a timely way and accurately is critical for precision fertilization. The imaging technology based on visible light is relatively inexpensive and ubiquitous, and open-source analysis tools have proliferated. In this st...

An application of convolutional neural networks with salient features for relation classification.

BMC bioinformatics
BACKGROUND: Due to the advent of deep learning, the increasing number of studies in the biomedical domain has attracted much interest in feature extraction and classification tasks. In this research, we seek the best combination of feature set and hy...

Drug repositioning of herbal compounds via a machine-learning approach.

BMC bioinformatics
BACKGROUND: Drug repositioning, also known as drug repurposing, defines new indications for existing drugs and can be used as an alternative to drug development. In recent years, the accumulation of large volumes of information related to drugs and d...