AIMC Topic: Deep Learning
Clear Filters Showing 1261 to 1270 of 26439 articles
Continuous nursing symptom management in cancer chemotherapy patients using deep learning.
Scientific reports
Mar 7, 2025
To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, aiming to enhance their quality of life. A non-randomized controlled trial was conducted from September 2022 to March 2024, involving 144 chemotherapy ...
Hybrid neural network method for damage localization in structural health monitoring.
Scientific reports
Mar 7, 2025
The detection of cracks in large structures is of critical importance, as such damage can result not only in significant financial costs but also pose serious risks to public safety. Many existing methods for crack detection rely on deep learning alg...
Leveraging YOLO deep learning models to enhance plant disease identification.
Scientific reports
Mar 7, 2025
Early automation in identifying plant diseases is crucial for the precise protection of crops. Plant diseases pose substantial risks to agriculture-dependent nations, often leading to notable crop losses and financial challenges, particularly in deve...
Diagnostic Performance of Artificial Intelligence-Based Methods for Tuberculosis Detection: Systematic Review.
Journal of medical Internet research
Mar 7, 2025
BACKGROUND: Tuberculosis (TB) remains a significant health concern, contributing to the highest mortality among infectious diseases worldwide. However, none of the various TB diagnostic tools introduced is deemed sufficient on its own for the diagnos...
A deep-learning model for quantifying circulating tumour DNA from the density distribution of DNA-fragment lengths.
Nature biomedical engineering
Mar 7, 2025
The quantification of circulating tumour DNA (ctDNA) in blood enables non-invasive surveillance of cancer progression. Here we show that a deep-learning model can accurately quantify ctDNA from the density distribution of cell-free DNA-fragment lengt...
The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Mar 7, 2025
The last decade has witnessed a notable surge in deep learning applications for electroencephalography (EEG) data analysis, showing promising improvements over conventional statistical techniques. However, deep learning models can underperform if tra...
PocketDTA: A pocket-based multimodal deep learning model for drug-target affinity prediction.
Computational biology and chemistry
Mar 6, 2025
Drug-target affinity prediction is a fundamental task in the field of drug discovery. Extracting and integrating structural information from proteins effectively is crucial to enhance the accuracy and generalization of prediction, which remains a sub...
Interstitial-guided automatic clinical tumor volume segmentation network for cervical cancer brachytherapy.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Mar 6, 2025
Automatic clinical tumor volume (CTV) delineation is pivotal to improving outcomes for interstitial brachytherapy cervical cancer. However, the prominent differences in gray values due to the interstitial needles bring great challenges on deep learni...
A Preoperative CT-based Multiparameter Deep Learning and Radiomic Model with Extracellular Volume Parameter Images Can Predict the Tumor Budding Grade in Rectal Cancer Patients.
Academic radiology
Mar 6, 2025
RATIONALE AND OBJECTIVES: To investigate a computed tomography (CT)-based multiparameter deep learning-radiomic model (DLRM) for predicting the preoperative tumor budding (TB) grade in patients with rectal cancer.
Advanced NLP-driven predictive modeling for tailored treatment strategies in gastrointestinal cancer.
SLAS technology
Mar 6, 2025
Gastrointestinal cancer represents a significant health burden, necessitating innovative approaches for personalized treatment. This study aims to develop an advanced natural language processing (NLP)-driven predictive modeling framework for tailored...
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