AIMC Topic: Deep Learning

Clear Filters Showing 10331 to 10340 of 28423 articles

Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity.

IEEE journal of biomedical and health informatics Sep 6, 2023
The current method for assessing pain in clinical practice is subjective and relies on self-reported scales. An objective and accurate method of pain assessment is needed for physicians to prescribe the proper medication dosage, which could reduce ad...
Acute Pain Galvanic Skin Response Machine Learning Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information.

IEEE journal of biomedical and health informatics Sep 6, 2023
The abuse of traditional antibiotics has led to increased resistance of bacteria and viruses. Efficient therapeutic peptide prediction is critical for peptide drug discovery. However, most of the existing methods only make effective predictions for o...
Peptides Drug Discovery Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

A Deep Learning Model for Automatic Segmentation of Intraparenchymal and Intraventricular Hemorrhage for Catheter Puncture Path Planning.

IEEE journal of biomedical and health informatics Sep 6, 2023
Intracerebral hemorrhage is the subtype of stroke with the highest mortality rate, especially when it also causes secondary intraventricular hemorrhage. The optimal surgical option for intracerebral hemorrhage remains one of the most controversial ar...
Punctures Hematoma Cerebral Hemorrhage Humans Stroke Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound.

IEEE journal of biomedical and health informatics Sep 6, 2023
Lung ultrasound (LUS) is an important imaging modality used by emergency physicians to assess pulmonary congestion at the patient bedside. B-line artifacts in LUS videos are key findings associated with pulmonary congestion. Not only can the interpre...
Humans Lung Ultrasonography Pulmonary Edema Deep Learning Thorax
View on PubMed DOI

Coot-Lion optimized deep learning algorithm for COVID-19 point mutation rate prediction using genome sequences.

Computer methods in biomechanics and biomedical engineering Sep 5, 2023
In this study, a deep quantum neural network (DQNN) based on the Lion-based Coot algorithm (LBCA-based Deep QNN) is employed to predict COVID-19. Here, the genome sequences are subjected to feature extraction. The fusion of features is performed usin...
Humans Genome, Viral Mutation Rate COVID-19 SARS-CoV-2 Point Mutation Algorithms Deep Learning
View on PubMed DOI

Deep-learning based automated quantification of critical optical coherence tomography features in neovascular age-related macular degeneration.

Eye (London, England) Sep 5, 2023
PURPOSE: To validate a deep learning algorithm for automated intraretinal fluid (IRF), subretinal fluid (SRF) and neovascular pigment epithelium detachment (nPED) segmentations in neovascular age-related macular degeneration (nAMD).
Retinal Detachment Macular Degeneration Intravitreal Injections Wet Macular Degeneration Subretinal Fluid Ranibizumab Angiogenesis Inhibitors Tomography, Optical Coherence Retrospective Studies Deep Learning Humans
View on PubMed DOI

A study on whether deep learning models based on CT images for bone density classification and prediction can be used for opportunistic osteoporosis screening.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Sep 5, 2023
UNLABELLED: This study utilized deep learning to classify osteoporosis and predict bone density using opportunistic CT scans and independently tested the models on data from different hospitals and equipment. Results showed high accuracy and strong c...
Bone Diseases, Metabolic Bone Density Deep Learning Retrospective Studies Osteoporosis Humans Tomography, X-Ray Computed
View on PubMed DOI

Fast deep learning reconstruction techniques for preclinical magnetic resonance fingerprinting.

NMR in biomedicine Sep 5, 2023
We propose a deep learning (DL) model and a hyperparameter optimization strategy to reconstruct T and T maps acquired with the magnetic resonance fingerprinting (MRF) methodology. We applied two different MRF sequence routines to acquire images of ex...
Brain Deep Learning Prospective Studies Magnetic Resonance Spectroscopy Phantoms, Imaging Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

Deep learning for the early identification of periodontitis: a retrospective, multicentre study.

Clinical radiology Sep 5, 2023
AIM: To develop a deep-learning model to help general dental practitioners diagnose periodontitis accurately and at an early stage.
Retrospective Studies Professional Role Humans Deep Learning Dentists Neural Networks, Computer
View on PubMed DOI

Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy.

Journal of applied clinical medical physics Sep 5, 2023
PURPOSE: Two-dimensional radiotherapy is often used to treat cervical cancer in low- and middle-income countries, but treatment planning can be challenging and time-consuming. Neural networks offer the potential to greatly decrease planning time thro...
Female Uterine Cervical Neoplasms Algorithms Deep Learning Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals